Identity legitimacy verification method, device, system and electronic equipment

Abstract

The present invention provides a method, device, system, and electronic device for verifying the legitimacy of an identity, relating to the field of security monitoring technology. The method comprises: performing video heart rate detection on a pedestrian in a video image captured by a monitoring device to obtain a first heart rate value; if the first heart rate value does not fall within a preset heart rate range, determining a baseline heart rate variation range based on a preset heart rate road network map, and determining the pedestrian's heart rate variation value based on the first heart rate value and adjacent monitoring devices; if the heart rate variation value does not fall within the baseline heart rate variation range, verifying whether the pedestrian's identity is legitimate based on the pedestrian's human biometrics; if the first heart rate value falls within the preset heart rate range or the heart rate variation value falls within the baseline heart rate variation range, determining that the pedestrian's identity is legitimate. The technical solution provided by the present invention combines video heart rate detection with map technology to verify the legitimacy of an identity, thereby reducing computing power costs and improving the efficiency of identity legitimacy verification.

Description

Technical Field

[0001] The present invention relates to the technical field of security monitoring, and in particular to an identity legitimacy verification method, device, system and electronic equipment. Background Art

[0002] Security monitoring plays an important role in the security of enterprises, supermarkets, factories, etc. By verifying the legitimacy of the identities of people entering, it can identify intruders and issue timely alarms to prevent security incidents.

[0003] Currently, when verifying the legitimacy of a person's identity through video surveillance, stranger detection is used. This involves comparing the biometrics of a person in the video image with those in a database of personal information. The comparison results in determining the legitimacy of the person's identity. This consumes significant computing resources when the database is large. Summary of the Invention

[0004] The present invention provides an identity legitimacy verification method, device, system and electronic equipment, which are used to solve the problem in the prior art that large computing resources are consumed when verifying the legitimacy of a person's identity.

[0005] The present invention provides a method for verifying the legitimacy of an identity, comprising:

[0006] Acquire a video image captured by a monitoring device, and perform video heart rate detection on a pedestrian in the video image to obtain a first heart rate value;

[0007] If the first heart rate value does not fall within a preset heart rate range, determining a baseline heart rate variation range based on a preset heart rate road network map, and determining the pedestrian's heart rate variation value based on the first heart rate value and adjacent monitoring devices of the monitoring device; wherein the preset heart rate road network map is used to represent the heart rate variation range between adjacent monitoring devices in the monitoring road network;

[0008] If the heart rate variation value does not fall within the reference heart rate variation range, obtaining a human biometric feature of the pedestrian, and verifying whether the pedestrian's identity is legitimate based on the human biometric feature;

[0009] When the first heart rate value falls within the preset heart rate range, or the heart rate variation value falls within the reference heart rate variation range, it is determined that the identity of the pedestrian is legal.

[0010] According to a method for verifying the legitimacy of an identity provided by the present invention, the preset heart rate road network map includes monitoring road network information; and determining a reference heart rate variation range and a heart rate variation value of the pedestrian based on the first heart rate value and the preset heart rate road network map includes:

[0011] Determining the pedestrian's travel speed based on the monitored road network information;

[0012] The heart rate variation range corresponding to the travel speed is searched from the preset heart rate road network map to obtain the reference heart rate variation range.

[0013] According to a method for verifying the legitimacy of an identity provided by the present invention, determining the pedestrian's travel speed based on the monitored road network information includes:

[0014] Obtaining the time when the pedestrian is detected in the video image to obtain a first time;

[0015] Determine an adjacent monitoring device of the monitoring device according to the monitoring road network information, and obtain the time when the adjacent monitoring device photographs the pedestrian to obtain a second time;

[0016] The pedestrian's travel speed is determined according to the monitored road network information, the first time, and the second time.

[0017] According to a method for verifying the legitimacy of an identity provided by the present invention, searching the heart rate variation range corresponding to the passing speed from the preset heart rate road network map to obtain the reference heart rate variation range includes:

[0018] extracting a human biometric feature of the pedestrian from the video image, and determining a target monitoring device that captured the pedestrian from the adjacent monitoring devices based on the human biometric feature;

[0019] Determining target monitoring road network information based on the target monitoring device;

[0020] Based on the target monitoring road network information and the traffic speed, searching for a corresponding heart rate variation range from the preset heart rate road network map to obtain the reference heart rate variation range;

[0021] The preset heart rate road network map stores the corresponding relationship between the monitored road network information, the travel speed and the heart rate variation range.

[0022] According to a method for verifying the legitimacy of an identity provided by the present invention, the preset heart rate road network map includes monitoring road network information; and the step of determining the heart rate change value of the pedestrian based on the first heart rate value and adjacent monitoring devices of the monitoring device includes:

[0023] Determining adjacent monitoring devices of the monitoring device according to the monitoring road network information;

[0024] extracting a human biometric feature of the pedestrian from the video image, and determining a target monitoring device that captured the pedestrian from the adjacent monitoring devices based on the human biometric feature;

[0025] obtaining a second heart rate value of the pedestrian detected by the target monitoring device;

[0026] A heart rate variation value of the pedestrian is determined according to the first heart rate value and the second heart rate value.

[0027] According to the present invention, a method for verifying the legitimacy of an identity further includes:

[0028] Obtain road network information and terrain information of the monitored area;

[0029] Adding distribution information of monitoring devices deployed in the monitoring area to the road network information to obtain monitoring road network information;

[0030] Obtaining historical heart rate detection samples of the monitoring devices deployed in the monitoring area;

[0031] The preset heart rate road network map is generated based on the monitored road network information, the terrain information and the historical heart rate detection samples.

[0032] The present invention also provides an identity legitimacy verification device, comprising:

[0033] An image acquisition module is used to acquire video images collected by monitoring equipment;

[0034] a detection module, configured to perform video heart rate detection on the pedestrian in the video image to obtain a first heart rate value;

[0035] a determination module configured to, if the first heart rate value does not fall within a preset heart rate range, determine a baseline heart rate variation range based on a preset heart rate road network map, and determine a heart rate variation value of the pedestrian based on the first heart rate value and adjacent monitoring devices of the monitoring device; wherein the preset heart rate road network map is used to represent the heart rate variation range between adjacent monitoring devices in a monitoring road network;

[0036] a first verification module, configured to obtain a human biometric feature of the pedestrian if the heart rate variation value does not fall within the reference heart rate variation range, and verify whether the pedestrian's identity is legitimate based on the human biometric feature;

[0037] The second verification module is used to determine that the identity of the pedestrian is legal when the first heart rate value falls within the preset heart rate range or the heart rate change value falls within the reference heart rate change range.

[0038] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the identity legitimacy verification method as described above is implemented.

[0039] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned identity legitimacy verification methods.

[0040] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned identity legitimacy verification methods.

[0041] The identity legitimacy verification method, device, system and electronic device provided by the present invention can obtain the first heart rate value of the pedestrian through video heart rate detection. When the first heart rate value does not fall within the preset heart rate range, the baseline heart rate change range and the pedestrian's heart rate change value are determined based on the first heart rate value and the preset heart rate road network map. When the heart rate change value does not fall within the baseline heart rate change range, it indicates that the pedestrian has an abnormal heart rate, which can indicate that the pedestrian may be nervous or choose an unconventional path to enter, and may be an intruder. At this time, the legitimacy of the pedestrian's identity is further confirmed based on the pedestrian's human biological characteristics; when the first heart rate value falls within the preset heart rate range, or the heart rate change value falls within the baseline heart rate change range, the legitimacy of the pedestrian's identity is determined. In this way, by combining video heart rate detection and road network monitoring, the pedestrian's heart rate value and heart rate changes can be used to determine whether the pedestrian's identity is legal. Only when the pedestrian has an abnormal heart rate value can the human biometric comparison method be used to verify whether the pedestrian's identity is legal. There is no need to compare human biometrics every time, thereby reducing a large amount of information comparison process, saving computing resources, and reducing computing power costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 This is one of the flow charts of the identity legitimacy verification method provided by an embodiment of the present invention;

[0044] Figure 2 1 is a flow chart of a method for establishing a preset heart rate road network map provided by an embodiment of the present invention;

[0045] Figure 3 This is a schematic diagram of the principle of forming monitoring road network information in an embodiment of the present invention;

[0046] Figure 4 Schematic diagram of the principle of the preset heart rate road network map in an embodiment of the present invention;

[0047] Figure 5 This is the second flow chart of the identity legitimacy verification method provided by an embodiment of the present invention;

[0048] Figure 6 Schematic diagram of the structure of the identity legitimacy verification device provided by an embodiment of the present invention;

[0049] Figure 7 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0051] It should be noted that the serial numbers assigned to components or objects in the present invention, such as "first", "second", etc., are only used to distinguish the described objects and do not have any order or technical meaning.

[0052] The embodiment of the present invention combines video heart rate detection technology and map technology to provide an identity legitimacy verification method, which can obtain video images captured by monitoring equipment and perform video heart rate detection on pedestrians in the video images to obtain a first heart rate value; when the first heart rate value does not fall within a preset heart rate range, a baseline heart rate change range is determined based on a preset heart rate road network map, and the pedestrian's heart rate change value is determined based on the first heart rate value and adjacent monitoring devices of the monitoring equipment, wherein the preset heart rate road network map is used to characterize the heart rate change range between adjacent monitoring devices in the monitoring road network; when the heart rate change value does not fall within the baseline heart rate change range, the pedestrian's human biometrics are obtained, and the legitimacy of the pedestrian's identity is verified based on the human biometrics; and when the first heart rate value falls within the preset heart rate range, or the heart rate change value falls within the baseline heart rate change range, the pedestrian's identity is directly determined to be legitimate. In this way, the pedestrian's heart rate value and heart rate changes can be used to first determine whether the pedestrian's identity is legal. Only when the pedestrian has an abnormal heart rate can the legitimacy of the pedestrian's identity be further verified by comparing the human body's biometrics. Compared with existing stranger detection methods, there is no need to compare human body biometrics every time, which reduces the process of a large amount of information comparison, thereby saving computing resources and reducing computing power costs.

[0053] The following combination Figure 1-Figure 5The present invention describes a method for verifying the legitimacy of an identity. This method can be applied to electronic devices, such as monitoring devices, or electronic devices such as servers, mobile phones, and computers that communicate with the monitoring devices. It can also be applied to an identity verification device installed in the electronic device, which can be implemented using software, hardware, or a combination of both.

[0054] Figure 1 One of the flow charts of the identity legitimacy verification method provided by the embodiment of the present invention is exemplified. Figure 1 As shown, the identity legitimacy verification method may include the following steps 110 to 140.

[0055] Step 110: Obtain a video image captured by a monitoring device, and perform video heart rate detection on a pedestrian in the video image to obtain a first heart rate value.

[0056] Intruders, or those entering illegally, may enter through unconventional routes. The physical path and terrain factors they use differ from those of normal routes and terrain, consuming different amounts of exercise and causing heart rate fluctuations to differ from those under normal routes and terrain. Furthermore, unauthorized entrants may also experience anxiety, which can lead to an abnormal heart rate. These physiological or psychological factors can cause an unauthorized entrant to have an abnormal heart rate. Therefore, heart rate can be used to determine the legitimacy of the entrant.

[0057] Based on this, at least two monitoring devices can be deployed in a monitoring area, such as a factory or park, for security monitoring. The electronic device can obtain video images captured by the monitoring device and identify the video images. When a pedestrian is identified in the video images, the electronic device can use video heart rate detection technology to detect the pedestrian's heart rate value to obtain a first heart rate value.

[0058] Video heart rate detection is a technology that detects heart rate based on changes in facial skin pixel values ​​in video images. This technology only requires a small area of ​​facial skin, such as the forehead or cheek, to be visible. The principle is that the capillaries beneath the skin reflect different light patterns as the pulse beats. By analyzing the pixel values ​​of the same skin area at different times, such as analyzing the RGB values ​​within the image, and then performing signal processing, the heart rate can be determined.

[0059] Optionally, the monitoring device can also detect pedestrians in the video image in real time, perform video heart rate detection on the pedestrians, and send the first heart rate value obtained by detection to a server, mobile phone, computer or other electronic device that is communicatively connected to the monitoring device.

[0060] Step 120: When the first heart rate value does not fall within the preset heart rate range, a baseline heart rate variation range is determined based on a preset heart rate road network map, and the pedestrian's heart rate variation value is determined based on the first heart rate value and adjacent monitoring devices of the monitoring device.

[0061] Among them, the preset heart rate road network map is used to characterize the heart rate change range between adjacent monitoring devices in the monitoring road network.

[0062] At least two monitoring devices can be deployed in a monitored area. These monitoring devices and the road network in the monitored area can constitute a monitoring network. Within the monitoring network, the locations of adjacent monitoring devices can be determined based on the distribution information of each monitoring device within the network, as well as the terrain between each monitoring device and its adjacent monitoring devices. Pedestrians traveling across different terrains (such as flat roads, steep slopes, stairs, and elevators) experience varying speeds and exercise intensities, resulting in varying heart rate variations. Based on this, historical heart rate detection samples from each monitoring device within the monitoring network can be analyzed based on the terrain information between the monitoring network and adjacent monitoring devices. The heart rate variation range of a sample person passing through two adjacent monitoring devices within the monitoring network can be obtained, creating a preset heart rate network map. This preset heart rate network map can be used to characterize the heart rate variation range between adjacent monitoring devices within the monitoring network, serving as a benchmark for determining whether a passing person is likely to be an intruder. The historical heart rate detection samples can be heart rate statistical samples obtained by monitoring a sample person through video heart rate detection performed by a monitoring device.

[0063] Passersby usually pass by on foot. The heart rates of pedestrians in historical heart rate detection samples when walking can be analyzed to obtain the range of the sample people's heart rate values ​​when walking, and to obtain a preset heart rate range. Through this preset heart rate range, it can be preliminarily determined whether the pedestrian is likely to be an intruder.

[0064] After the electronic device obtains the first heart rate value of the pedestrian, it can compare the first heart rate value with the preset heart rate range. If the first heart rate value falls within the preset heart rate range, it means that the pedestrian's heart rate meets the preset heart rate standard, and step 140 is executed. If the first heart rate value does not fall within the preset heart rate range, it means that the pedestrian's heart rate is different from the heart rate standard of a person with a legitimate identity, and there is suspicion of illegal entry. At this time, the baseline heart rate change range can be determined in combination with the preset heart rate road network map, and the pedestrian's heart rate change value can be determined based on the first heart rate value and the adjacent monitoring devices of the monitoring device, and further verification of whether the pedestrian's identity is legitimate can be performed. Among them, the adjacent monitoring devices of the monitoring device can be determined based on the monitoring road network information in the preset heart rate road network map, and the monitoring road network information represents the distribution of the monitoring devices in the road network.

[0065] Step 130: When the heart rate variation value does not fall within the reference heart rate variation range, the pedestrian's biometric characteristics are obtained, and the pedestrian's identity is verified to be legitimate based on the biometric characteristics.

[0066] After obtaining the baseline heart rate variation range and the pedestrian's heart rate variation value, the heart rate variation value is compared with the baseline heart rate variation range. If the heart rate variation value falls within the baseline heart rate variation range, indicating that the pedestrian's heart rate variation meets the heart rate variation baseline, step 140 is executed. If the heart rate variation value does not fall within the baseline heart rate variation range, it indicates that the pedestrian may have a large heart rate fluctuation due to emotional tension or entering through an unconventional route, and there is suspicion of illegal entry. In this case, the legality of the pedestrian's identity can be further determined through stranger detection methods to identify whether the pedestrian is an intruder. Specifically, image analysis can be performed on the video image containing the pedestrian captured by the monitoring equipment to extract the pedestrian's human biometric features. The extracted human biometric features are then compared with a feature information database to determine whether there are matching human biometric features in the feature information database. If not, the pedestrian's identity is determined to be illegal and an intruder. If a corresponding human biometric feature is matched, the pedestrian's identity is determined to be legal and a legal entrant.

[0067] The human biometrics may include at least one of facial features and gait features. The feature information database may store the human biometrics of authorized persons, such as authorized entrants recorded at the entrance and exit, or persons recorded in the personnel whitelist.

[0068] Step 140: When the first heart rate value falls within a preset heart rate range, or the heart rate variation value falls within a reference heart rate variation range, determine that the pedestrian's identity is legal.

[0069] When the first heart rate value falls within the preset heart rate range, or the heart rate change value falls within the baseline heart rate change range, the pedestrian's identity can be directly determined to be legal and a legal entrant without the need for human biometric comparison.

[0070] The identity legitimacy verification method provided by the embodiment of the present invention obtains the first heart rate value of the pedestrian through video heart rate detection. When the first heart rate value does not fall within the preset heart rate range, the baseline heart rate change range is determined according to the preset heart rate road network map, and the heart rate change value of the pedestrian is determined based on the first heart rate value and the adjacent monitoring devices of the monitoring device. When the heart rate change value does not fall within the baseline heart rate change range, it indicates that the pedestrian has an abnormal heart rate, which can indicate that the pedestrian may be nervous or has chosen an unconventional path to enter, and may be an intruder. At this time, the legitimacy of the pedestrian's identity is further confirmed based on the pedestrian's human biological characteristics; and when the first heart rate value falls within the preset heart rate range, or the heart rate change value falls within the baseline heart rate change range, the legitimacy of the pedestrian's identity is directly determined. In this way, by combining video heart rate detection and road network monitoring, the pedestrian's heart rate value and heart rate changes can be used to determine whether the pedestrian's identity is legal. Only when the pedestrian has an abnormal heart rate can the human biometric comparison method be used to verify whether the pedestrian's identity is legal. There is no need to compare human biometrics every time, thereby reducing a large amount of information comparison process, saving computing resources, and reducing computing power costs.

[0071] based on Figure 1 In an example embodiment, the identity legitimacy verification method of the corresponding embodiment may further include the step of establishing a preset heart rate road network map. Specifically, the step of establishing the preset heart rate road network map may include: obtaining road network information and terrain information of the monitoring area; adding distribution information of monitoring devices deployed in the monitoring area to the road network information to obtain monitoring road network information; obtaining historical heart rate detection samples of the monitoring devices deployed in the monitoring area; and generating the preset heart rate road network map based on the monitoring road network information, terrain information, and historical heart rate detection samples.

[0072] The terrain information may include at least one of stair climbing, gentle roads, steep slopes, and elevators. Monitoring road network information can characterize the distribution of monitoring devices deployed in the monitoring area and the terrain between the monitoring devices. This monitoring road network information can be used to determine the location of each monitoring device in the monitoring area relative to its neighbors in the road network, as well as terrain information about the monitoring devices and their neighbors.

[0073] based on Figure 1 In one exemplary embodiment of the identity legitimacy verification method, a preset heart rate road network map includes monitoring road network information. Accordingly, determining a baseline heart rate variation range based on the preset heart rate road network map may include: determining a pedestrian's travel speed based on the monitoring road network information; and searching the preset heart rate road network map for a heart rate variation range corresponding to the travel speed to obtain the baseline heart rate variation range. The preset heart rate road network map may store a correspondence between the monitoring road network information, travel speed, and heart rate variation range.

[0074] Exemplarily, determining the pedestrian's travel speed based on monitoring road network information may include: obtaining the time when the pedestrian is detected in the video image to obtain a first time; determining the adjacent monitoring devices of the monitoring device based on the monitoring road network information, and obtaining the time when the adjacent monitoring device photographs the pedestrian to obtain a second time; determining the pedestrian's travel speed based on the monitoring road network information, the first time and the second time.

[0075] For example, at this moment, a pedestrian passes by monitoring device 1 and is photographed by monitoring device 1. This current moment can be recorded as the first time. Simultaneously, based on the monitoring network information, it can be determined that the monitoring devices associated with monitoring device 1 include monitoring device 2 and monitoring device 3. Monitoring devices 2 and 3 are then determined to be adjacent monitoring devices to monitoring device 1. Assuming the pedestrian was photographed by monitoring device 3 before passing by monitoring device 1, the time at which monitoring device 3 photographed the pedestrian can be obtained, resulting in the second time. The monitoring network information can reflect the terrain information from monitoring device 3 to monitoring device 1. Based on this terrain information, the distance from monitoring device 3 to monitoring device 1 can be determined. Furthermore, based on this distance and the first and second times, the pedestrian's speed can be determined.

[0076] Exemplarily, searching for the heart rate variation range corresponding to the travel speed from a preset heart rate road network map to obtain a baseline heart rate variation range can include: extracting human biological characteristics of pedestrians from video images, and determining the target monitoring device that photographed the pedestrian from adjacent monitoring devices based on the human biological characteristics; determining the target monitoring road network information based on the target monitoring device; based on the target monitoring road network information and the travel speed, searching for the corresponding heart rate variation range from a preset heart rate road network map to obtain a baseline heart rate variation range; wherein the preset heart rate road network map stores the correspondence between the monitoring road network information, the travel speed and the heart rate variation range.

[0077] For example, using the aforementioned example of monitoring devices 1, 2, and 3, it can be determined that monitoring device 3 is the target monitoring device. The information about the monitoring network from monitoring device 3 to monitoring device 1 is the target monitoring network information. This target monitoring network information can include the location information of monitoring devices 1 and 3, as well as the terrain information from monitoring device 3 to monitoring device 1.

[0078] based on Figure 1In the identity legitimacy verification method of the corresponding embodiment, in an exemplary embodiment, the preset heart rate road network map may include monitoring road network information. Accordingly, determining the pedestrian's heart rate change value based on the first heart rate value and the monitoring device's adjacent monitoring devices may include: determining the monitoring device's adjacent monitoring devices based on the monitoring road network information; extracting the pedestrian's human biometrics from the video image, and determining the target monitoring device that captured the pedestrian from the adjacent monitoring devices based on the human biometrics; obtaining the second heart rate value of the pedestrian detected by the target monitoring device; and determining the pedestrian's heart rate change value based on the first heart rate value and the second heart rate value.

[0079] Based on the above method embodiments, the identity legitimacy verification method provided by the embodiment of the present invention is further illustrated below.

[0080] In an embodiment of the present invention, a preset heart rate road network map can be established in advance. During the identity legitimacy verification process, the legitimacy of the identity of the pedestrian in the video image can be verified based on the preset heart rate road network map to determine whether the pedestrian in the video image is a possible intruder. Figure 2 The flowchart of the method for establishing a preset heart rate road network map provided by an embodiment of the present invention is exemplified. Figure 2 As shown, the method may include the following steps 210 to 240.

[0081] Step 210: Obtain road network information and terrain information of the monitoring area.

[0082] A road network is a network of interconnected roads, interwoven into a network. The electronic device can obtain a map of the monitored area and, based on this map, obtain road network information for the monitored area. It can also obtain terrain information for the monitored area. This terrain information may include, but is not limited to, at least one of: stair climbs, gentle roads, steep slopes, escalators, and elevators.

[0083] Step 220: Add the distribution information of the monitoring equipment deployed in the monitoring area to the road network information to obtain the monitoring road network information.

[0084] At least two monitoring devices can be deployed in a monitoring area. The electronic device can obtain distribution information of the monitoring devices deployed in the monitoring area. This distribution information can represent the location distribution of the monitoring devices in the monitoring area. The electronic device can then add this distribution information to the road network information to form the monitoring road network information.

[0085] For example, Figure 3 The schematic diagram of the principle of forming monitoring road network information is shown as an example. Figure 3As shown in the figure, it is assumed that four monitoring devices are deployed in the monitoring area, namely monitoring device 31, monitoring device 32, monitoring device 33 and monitoring device 34. The distribution positions of these four monitoring devices in the monitoring area are matched to the road network information of the monitoring area, and the following can be obtained: Figure 3 The monitoring network information shown in FIG. 4 can be used to represent the location of each monitoring device in the monitoring network and the terrain information of the path between the adjacent monitoring devices. Figure 3 It can be seen that monitoring device 34 has two adjacent monitoring devices, namely monitoring device 32 and monitoring device 33. Monitoring device 34 can reach monitoring device 33 after passing a 30-meter flat road, and can reach monitoring device 33 after climbing 20 meters of stairs and 5 meters of flat road.

[0086] Step 230: Obtain historical heart rate detection samples of monitoring devices deployed in the monitoring area.

[0087] Combine Figure 3 Taking the four monitoring devices deployed in the monitoring area as an example, the historical heart rate detection samples of each monitoring device can be obtained. For each monitoring device, the historical heart rate detection samples can reflect the heart rate information of the sample person when passing by the monitoring device.

[0088] Step 240: Generate a preset heart rate road network map based on the monitored road network information, terrain information and historical heart rate detection samples.

[0089] Combine Figure 3 Taking four monitoring devices deployed in a monitoring area as an example, after obtaining historical heart rate detection samples, the electronic devices can combine the monitored road network information to obtain the heart rate information of the sample person when they passed the current monitoring device and the adjacent monitoring device. Based on the heart rate information of these two times, the heart rate variation range of the sample person passing through the two monitoring devices can be determined. For example, the sample person can be classified according to the speed of travel, and the heart rate variation range at different travel speeds can be obtained.

[0090] For example, taking monitoring device 34 as an example, the sample persons captured by monitoring device 34 may come from monitoring device 32 and monitoring device 33. The terrain traversed by the sample persons from monitoring device 32 is generally flat, a path that does not require high-intensity exercise. At a normal walking speed, the heart rate fluctuation range of the same sample person walking from monitoring device 32 to monitoring device 34 is relatively low. However, if the sample person is running, the heart rate fluctuation range may increase due to the increase in travel speed. At a normal walking speed, the heart rate of the same sample person walking from monitoring device 33 to monitoring device 34 will increase due to the stairs they pass. Based on this, the sample persons can be classified according to their travel speed. Different travel speeds correspond to different heart rate fluctuation ranges, and the heart rate fluctuation patterns from monitoring device 32 and monitoring device 33 to monitoring device 34 can be obtained. Similarly, the heart rate fluctuation ranges between adjacent monitoring devices in the monitoring road network can be obtained for all monitoring devices deployed in the monitoring area. For example, for each monitoring device deployed in the monitoring area, the heart rate value of the sample person when passing the monitoring device at a normal walking speed (for example, 1m / s) can be obtained through the historical heart rate detection samples corresponding to the monitoring device. The heart rate values ​​of all sample persons passing through the monitoring device are statistically analyzed to obtain the heart rate value range of the sample persons when passing through the monitoring device, and this heart rate value range is used as the preset heart rate range. During the identity legitimacy verification process, the preset heart rate range can be used to preliminarily determine whether the pedestrian passing through the monitoring device is suspected of intrusion.

[0091] Furthermore, the preset heart rate range, heart rate variation range and monitoring road network information can be combined to form a preset heart rate road network map, in which the corresponding relationship between monitoring road network information, traffic speed and heart rate variation range is stored. Figure 4 The schematic diagram of the preset heart rate road network map is shown as an example. Figure 4 As shown in the diagram, the preset heart rate road network map is described by taking the case where the passing speed is normal walking speed (such as 1m / s) as an example. Figure 4 It is understood that the corresponding relationship between the monitoring road network information and the heart rate change range at other traffic speeds can be referred to Figure 4 Obtain and form the final preset heart rate road network map.

[0092] exist Figure 4In the map, the heart rate range corresponding to each monitoring device is the preset heart rate range for that monitoring device. There is a corresponding heart rate variation range between two adjacent monitoring devices in the monitoring network. For example, the heart rate variation range for walking from monitoring device 32 to monitoring device 34 is -2% to 2%, and the heart rate variation range for walking from monitoring device 34 to monitoring device 32 is -9% to 2%. This preset heart rate network map can represent information such as the preset heart rate range corresponding to each monitoring device in the monitoring network, the terrain information of its adjacent monitoring devices, and the heart rate variation range between adjacent monitoring devices.

[0093] For example, the preset heart rate road network map can store the corresponding relationship between the monitored road network information, the passing speed and the heart rate variation range in the form of a table. For example, the preset heart rate road network map can be exemplarily represented as the following Table 1:

[0094] Table 1

[0095]

[0096] As shown in Table 1, for the same monitoring path, different travel speeds can correspond to different heart rate change ranges. The monitoring road network information can be represented by the corresponding relationship between the source address and the destination address as shown in Table 1.

[0097] It should be noted that Table 1 only illustrates the paths from monitoring device 32 and monitoring device 33 to monitoring device 34. Other paths can also be represented in the same manner and are not shown in Table 1. The preset heart rate ranges in Table 1 are for illustrative purposes only and do not constitute a limitation of the present invention.

[0098] Based on the preset heart rate road network map pre-established in the above embodiment, combined with Table 1, taking the pedestrian passing by the monitoring device 34 at the current moment as an example, Figure 5 The second flow chart of the identity legitimacy verification method provided by the embodiment of the present invention is shown as an example. Figure 5 As shown, the identity legitimacy verification method may include the following steps 501 to 511.

[0099] Step 501: Obtain a video image captured by a monitoring device, and perform video heart rate detection on a pedestrian in the video image to obtain a first heart rate value.

[0100] The electronic device obtains the video image collected in real time by the monitoring device 34 and performs pedestrian detection on the video image. When a pedestrian is detected in the video image, the electronic device uses the video heart rate detection technology to detect the heart rate of the pedestrian and obtain a first heart rate value.

[0101] In an optional implementation, the monitoring device 34 may also perform video heart rate detection on the pedestrian in the video image to obtain the first heart rate value.

[0102] Step 502: Determine whether the first heart rate value falls within a preset heart rate range.

[0103] Assume that the first heart rate value is A1, and the preset heart rate range of the monitoring device 34 is M1-M2. The electronic device compares the first heart rate value A1 with the preset heart rate range M1-M2. If M1≤A1≤M2, indicating that the first heart rate value A1 falls within the range M1-M2, the electronic device executes step 511 and ends the process. If A1<M1 or A1>M2, indicating that A1 does not fall within the range M1-M2, the pedestrian may be an intruder and further verification of the legitimacy of the pedestrian's identity is required, and step 503 is executed.

[0104] Step 503: Determine the adjacent monitoring devices of the monitoring device according to the monitoring road network information.

[0105] according to Figure 4 Based on the monitoring road network information, it can be determined that the adjacent monitoring devices of monitoring device 34 are monitoring device 32 and monitoring device 33.

[0106] Step 504: Obtain detection information of the pedestrian from adjacent monitoring devices.

[0107] The pedestrian photographed by the monitoring device 34 may come from the monitoring device 32 or the monitoring device 33. The electronic device can extract the human biometric features of the pedestrian from the video image containing the pedestrian collected by the monitoring device 34, such as facial features or gait features, etc. According to the human biometric features, the pedestrian is matched from the video images taken by the monitoring device 32 and the monitoring device 33. For example, if the pedestrian is matched in the video image of the monitoring device 32, the detection information for the pedestrian is obtained from the monitoring device 32. The detection information may include the second time when the monitoring device 32 photographed the pedestrian, and the second heart rate value of the pedestrian when passing the monitoring device 32.

[0108] Step 505: Determine the pedestrian's travel speed based on the detection information and the monitored road network information.

[0109] The detection information includes the second time when monitoring device 32 captured the pedestrian. The electronic device can then obtain the time when monitoring device 34 captured the pedestrian, obtaining the first time. Furthermore, the electronic device can determine from the monitored road network information that the path distance between monitoring device 32 and monitoring device 34 is 30 meters. Based on this path distance, the first time, and the second time, the electronic device can determine the pedestrian's speed as they traveled from monitoring device 32 to monitoring device 34.

[0110] Step 506: Search the heart rate variation range corresponding to the travel speed from the preset heart rate road network map to obtain the reference heart rate variation range.

[0111] Assuming that the obtained passing speed is 3m / s, the electronic device can search the preset heart rate road network map shown in Table 1 for the heart rate change range corresponding to the passing speed of 3m / s under the path from the monitoring device 32 to the monitoring device 34, that is, 20% to 30% can be found, and the heart rate change range of 20% to 30% is determined as the baseline heart rate change range.

[0112] Step 507: Determine the pedestrian's heart rate variation value.

[0113] The electronic device can obtain the second heart rate value of the pedestrian when passing through the monitoring device 32 from the monitoring device 32, and then calculate the pedestrian's heart rate change value based on the second heart rate value and the first heart rate value obtained in step 501.

[0114] Step 508: Determine whether the heart rate variation value falls within the reference heart rate variation range.

[0115] If it falls within, step 511 is executed and the process ends; if it does not fall within, it means that the pedestrian may be an illegal intruder and needs further verification, and step 509 is executed.

[0116] Step 509: Verify whether the pedestrian's human biometric features match the feature information database.

[0117] If they match, step 511 is executed and the process ends; if they do not match, it is determined that the pedestrian's identity is illegal and is an intruder, and step 510 is executed.

[0118] Step 510: Output alarm information.

[0119] When the pedestrian's identity is determined to be illegal, the pedestrian is identified as an intruder, and the electronic device can control the alarm device to output an alarm message. For example, when outputting the alarm message, the location of the intruder can be indicated, for example, the location of the intruder can be determined based on the location information of the monitoring device 34.

[0120] Step 511: Determine whether the pedestrian's identity is legal.

[0121] When the identity of the pedestrian is determined to be legal, the pedestrian is characterized as a legal entrant.

[0122] The identity legitimacy verification method provided in this example embodiment is explained by taking an electronic device (such as a server, mobile phone or computer, etc.) that is in communication connection with a monitoring device as an example. In an optional implementation, the identity legitimacy verification method can also be applied to any monitoring device deployed in the monitoring area, and a communication connection can be established between the monitoring devices deployed in the monitoring area. For example, taking the monitoring device 34 as an example, the monitoring device 34 can perform video heart rate detection on the pedestrian in the video image it collects. When the first heart rate value detected does not fall within the preset heart rate range, the detection information of the pedestrian is retrieved from the monitoring device 32 and the monitoring device 33 based on the monitoring road network information using the human biological characteristics of the pedestrian. Then, based on the detection information and the preset heart rate road network map, according to Figure 5 The steps of the corresponding embodiment verify the legitimacy of the pedestrian's identity to determine whether the pedestrian is an intruder.

[0123] The identity verification method provided by the embodiments of the present invention can combine video heart rate detection with mapping technology, integrating heart rate change trends into a road network containing terrain information and monitoring device distribution information. This generates a preset heart rate road network map categorized by travel speed, which can be used to verify the legitimacy of a pedestrian's heart rate in real time. If the heart rate does not conform to the preset heart rate road network map, the pedestrian's identity legitimacy can be further verified using human biometrics. In this way, the legitimacy of the pedestrian's identity can be first determined using the pedestrian's heart rate value and heart rate changes to determine whether the pedestrian is a possible intruder. This process only requires a preliminary judgment of identity legitimacy based on the snapshot records of adjacent monitoring devices, without the need for extensive comparison of human biometric information. Only when the pedestrian's heart rate does not conform to the preset heart rate road network map is the legitimacy of the pedestrian's identity verified by comparing the human biometrics with the feature information database. This eliminates the need for repeated comparison of human biometrics with the feature information database, thereby reducing the number of information comparison processes, saving computing resources, reducing computing power costs, and improving the efficiency of identity verification.

[0124] The following describes the identity legitimacy verification device provided by the present invention. The identity legitimacy verification device described below and the identity legitimacy verification method described above can refer to each other.

[0125] Figure 6 The schematic diagram of the structure of the identity legitimacy verification device provided by the embodiment of the present invention is shown as an example. Figure 6As shown, the identity legitimacy verification device 600 may include: an image acquisition module 610, used to acquire video images collected by a monitoring device; a detection module 620, used to perform video heart rate detection on pedestrians in the video image to obtain a first heart rate value; a determination module 630, used to determine a baseline heart rate change range based on a preset heart rate road network map when the first heart rate value does not fall within a preset heart rate range, and determine the pedestrian's heart rate change value based on the first heart rate value and the adjacent monitoring devices of the monitoring device, wherein the preset heart rate road network map is used to characterize the heart rate change range between adjacent monitoring devices in the monitoring road network; a first verification module 640, used to acquire the pedestrian's human biometrics when the heart rate change value does not fall within the baseline heart rate change range, and verify whether the pedestrian's identity is legitimate based on the human biometrics; a second verification module 650, used to determine the legitimacy of the pedestrian's identity when the first heart rate value falls within the preset heart rate range, or the heart rate change value falls within the baseline heart rate change range.

[0126] In an example embodiment, the preset heart rate road network map includes monitoring road network information, and the determination module 630 may include: a first determination unit, used to determine the pedestrian's passing speed based on the monitoring road network information; a search unit, used to search the heart rate change range corresponding to the passing speed from the preset heart rate road network map to obtain a baseline heart rate change range.

[0127] In an example embodiment, the first determination unit may include: an acquisition subunit, used to acquire the time when a pedestrian is detected in a video image to obtain a first time; a first determination subunit, used to determine the adjacent monitoring devices of the monitoring device based on the monitoring road network information, and acquire the time when the adjacent monitoring device photographs the pedestrian to obtain a second time; a second determination subunit, used to determine the pedestrian's passing speed based on the monitoring road network information, the first time and the second time.

[0128] In an example embodiment, the search unit may include: an extraction subunit for extracting human biometric features of pedestrians from video images; a third determination subunit for determining a target monitoring device that has photographed the pedestrian from adjacent monitoring devices based on the human biometric features; a fourth determination subunit for determining target monitoring road network information based on the target monitoring device; a search subunit for searching a corresponding heart rate variation range from a preset heart rate road network map based on the target monitoring road network information and the travel speed to obtain a baseline heart rate variation range; wherein the preset heart rate road network map stores the correspondence between the monitoring road network information, the travel speed and the heart rate variation range.

[0129] In one exemplary embodiment, the preset heart rate road network map includes monitoring road network information. Determination module 630 may further include: a second determination unit for determining adjacent monitoring devices of the monitoring device based on the monitoring road network information; a third determination unit for extracting human biometrics of the pedestrian from the video image and determining, from the adjacent monitoring devices, a target monitoring device that captured the pedestrian based on the human biometrics; an acquisition unit for acquiring a second heart rate value of the pedestrian detected by the target monitoring device; and a fourth determination unit for determining a heart rate change value of the pedestrian based on the first heart rate value and the second heart rate value.

[0130] In an example embodiment, the identity legitimacy verification device 600 may also include: an information acquisition module for acquiring road network information and terrain information of the monitoring area; an adding module for adding distribution information of monitoring equipment deployed in the monitoring area to the road network information to obtain monitoring road network information; a sample acquisition module for acquiring historical heart rate detection samples of monitoring equipment deployed in the monitoring area; and a generation module for generating a preset heart rate road network map based on the monitoring road network information, terrain information and historical heart rate detection samples.

[0131] Figure 7 The following is a schematic diagram of the structure of an electronic device, such as Figure 7 As shown, the electronic device may include: a processor (processor) 710, a communication interface (Communication Interface) 720, a memory (memory) 730 and a communication bus 740, wherein the processor 710, the communication interface 720 and the memory 730 communicate with each other through the communication bus 740. The processor 710 can call the logic instructions in the memory 730 to execute the identity legitimacy verification method provided by the above-mentioned method embodiments. The method may include, for example: obtaining a video image captured by the monitoring device, and performing video heart rate detection on the pedestrian in the video image to obtain a first heart rate value; when the first heart rate value does not fall within the preset heart rate range, determining the baseline heart rate change range based on the preset heart rate road network map, and determining the pedestrian's heart rate change value based on the first heart rate value and the adjacent monitoring devices of the monitoring device; wherein the preset heart rate road network map is used to characterize the heart rate change range between adjacent monitoring devices in the monitoring road network; when the heart rate change value does not fall within the baseline heart rate change range, obtaining the pedestrian's human biometrics, and verifying whether the pedestrian's identity is legitimate based on the human biometrics; when the first heart rate value falls within the preset heart rate range, or the heart rate change value falls within the baseline heart rate change range, determining that the pedestrian's identity is legitimate.

[0132] In addition, the logic instructions in the above-mentioned memory 730 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0133] The embodiment of the present invention also provides an identity legitimacy verification system, which may include: Figure 7 The electronic device shown, and at least two monitoring devices communicatively connected to the electronic device.

[0134] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a computer-readable storage medium, which can be, for example, a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the identity legitimacy verification method provided by the above-mentioned method embodiments. The method can, for example, include: obtaining a video image captured by a monitoring device, and performing video heart rate detection on a pedestrian in the video image to obtain a first heart rate value; when the first heart rate value does not fall within a preset heart rate range, determining a baseline heart rate change range based on a preset heart rate road network map, and determining the pedestrian's heart rate change value based on the first heart rate value and adjacent monitoring devices of the monitoring device; wherein the preset heart rate road network map is used to characterize the heart rate change range between adjacent monitoring devices in the monitoring road network; when the heart rate change value does not fall within the baseline heart rate change range, obtaining the pedestrian's human biometrics, and verifying whether the pedestrian's identity is legitimate based on the human biometrics; when the first heart rate value falls within the preset heart rate range, or the heart rate change value falls within the baseline heart rate change range, determining that the pedestrian's identity is legitimate.

[0135] On the other hand, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the identity legitimacy verification method provided by the above-mentioned method embodiments. The method may include, for example: obtaining a video image captured by a monitoring device, and performing video heart rate detection on a pedestrian in the video image to obtain a first heart rate value; if the first heart rate value does not fall within a preset heart rate range, determining a baseline heart rate variation range based on a preset heart rate road network map, and determining the pedestrian's heart rate variation value based on the first heart rate value and adjacent monitoring devices of the monitoring device; wherein the preset heart rate road network map is used to characterize the heart rate variation range between adjacent monitoring devices in the monitoring road network; if the heart rate variation value does not fall within the baseline heart rate variation range, obtaining the pedestrian's human biometrics, and verifying whether the pedestrian's identity is legitimate based on the human biometrics; if the first heart rate value falls within the preset heart rate range, or the heart rate variation value falls within the baseline heart rate variation range, determining that the pedestrian's identity is legitimate. Exemplarily, the computer-readable storage medium may be, for example, a non-transitory computer-readable storage medium.

[0136] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0137] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for verifying the legitimacy of an identity, characterized in that: include: Acquire a video image captured by a monitoring device, and perform video heart rate detection on a pedestrian in the video image to obtain a first heart rate value; If the first heart rate value does not fall within a preset heart rate range, determining a baseline heart rate variation range based on a preset heart rate road network map, and determining the pedestrian's heart rate variation value based on the first heart rate value and adjacent monitoring devices of the monitoring device; wherein the preset heart rate road network map is used to represent the heart rate variation range between adjacent monitoring devices in the monitoring road network; If the heart rate variation value does not fall within the reference heart rate variation range, obtaining a human biometric feature of the pedestrian, and verifying whether the pedestrian's identity is legitimate based on the human biometric feature; When the first heart rate value falls within the preset heart rate range, or the heart rate variation value falls within the reference heart rate variation range, it is determined that the identity of the pedestrian is legal.

2. The identity legitimacy verification method according to claim 1, characterized in that: The preset heart rate road network map includes monitoring road network information; and determining the reference heart rate variation range based on the preset heart rate road network map includes: Determining the pedestrian's travel speed based on the monitored road network information; The heart rate variation range corresponding to the travel speed is searched from the preset heart rate road network map to obtain the reference heart rate variation range.

3. The identity legitimacy verification method according to claim 2, characterized in that: The determining the pedestrian's travel speed based on the monitored road network information includes: Obtaining the time when the pedestrian is detected in the video image to obtain a first time; Determine an adjacent monitoring device of the monitoring device according to the monitoring road network information, and obtain the time when the adjacent monitoring device photographs the pedestrian to obtain a second time; The pedestrian's travel speed is determined according to the monitored road network information, the first time, and the second time.

4. The identity legitimacy verification method according to claim 3, characterized in that: Searching the heart rate variation range corresponding to the travel speed from the preset heart rate road network map to obtain the reference heart rate variation range includes: extracting a human biometric feature of the pedestrian from the video image, and determining a target monitoring device that captured the pedestrian from the adjacent monitoring devices based on the human biometric feature; Determining target monitoring road network information based on the target monitoring device; Based on the target monitored road network information and the traffic speed, searching for a corresponding heart rate variation range from the preset heart rate road network map to obtain the reference heart rate variation range; The preset heart rate road network map stores the corresponding relationship between the monitored road network information, the travel speed and the heart rate variation range.

5. The identity legitimacy verification method according to claim 1, characterized in that: The preset heart rate road network map includes monitoring road network information; and determining the pedestrian's heart rate change value based on the first heart rate value and adjacent monitoring devices of the monitoring device includes: Determining adjacent monitoring devices of the monitoring device according to the monitoring road network information; extracting a human biometric feature of the pedestrian from the video image, and determining a target monitoring device that captured the pedestrian from the adjacent monitoring devices based on the human biometric feature; obtaining a second heart rate value of the pedestrian detected by the target monitoring device; A heart rate variation value of the pedestrian is determined according to the first heart rate value and the second heart rate value.

6. The identity legitimacy verification method according to any one of claims 1 to 5, characterized in that: Also includes: Obtain road network information and terrain information of the monitored area; Adding distribution information of monitoring devices deployed in the monitoring area to the road network information to obtain monitoring road network information; Obtaining historical heart rate detection samples of the monitoring devices deployed in the monitoring area; The preset heart rate road network map is generated based on the monitored road network information, the terrain information and the historical heart rate detection samples.

7. An identity legitimacy verification device, characterized in that: include: An image acquisition module is used to acquire video images collected by monitoring equipment; a detection module, configured to perform video heart rate detection on the pedestrian in the video image to obtain a first heart rate value; a determination module configured to, if the first heart rate value does not fall within a preset heart rate range, determine a baseline heart rate variation range based on a preset heart rate road network map, and determine a heart rate variation value of the pedestrian based on the first heart rate value and adjacent monitoring devices of the monitoring device; wherein the preset heart rate road network map is used to represent the heart rate variation range between adjacent monitoring devices in a monitoring road network; a first verification module, configured to obtain a human biometric feature of the pedestrian if the heart rate variation value does not fall within the reference heart rate variation range, and verify whether the pedestrian's identity is legitimate based on the human biometric feature; The second verification module is used to determine that the identity of the pedestrian is legal when the first heart rate value falls within the preset heart rate range or the heart rate change value falls within the reference heart rate change range.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the identity legitimacy verification method according to any one of claims 1 to 6 is implemented.

9. An identity legitimacy verification system, characterized in that: The electronic device comprises the electronic device as claimed in claim 8, and at least two monitoring devices communicatively connected to the electronic device.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the identity legitimacy verification method according to any one of claims 1 to 6 is implemented.

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