Target object identification method and customs comprehensive identification and evaluation system

Abstract

The present application provides a method for identifying a target object and a customs comprehensive identification and evaluation system, wherein an identification device marks a specific portrait person in a transit hall; detects that a specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time; detects that the vehicle is not marked as a target object, obtains the physical information of the specific portrait person at the time of getting on and getting off the vehicle, and the physical information includes at least body shape information and clothing information; detects that the physical information of the specific portrait person at the time of getting on and getting off the vehicle is inconsistent, then marks the specific portrait person as a target object. In the present application, the target object is identified by tracking the specific behavior of the specific portrait person after entering the country. Compared with the prior art that only marks the target object by the number of entries and exits, the present application can effectively reduce the missed detection rate of smugglers and improve the accuracy of monitoring by the customs comprehensive identification and evaluation system.

Description

Technical Field

[0001] The present application relates to the field of public security management technology, and in particular to a target object identification method and a customs comprehensive identification and evaluation system. Background Art

[0002] Between the passenger inspection ports, there are a large number of people (called smugglers) who carry and transport tax-related goods or prohibited or restricted items in and out of the country through passenger inspection and other channels for the purpose of earning carrying fees. Since smugglers are mixed with ordinary tourists, employees, local residents, etc., the existing customs inspection system usually identifies smugglers by marking people who frequently enter and exit the customs as people to be checked. When the person marked as a person to be checked appears in the transit hall again, the system automatically sends an alarm message to the passenger inspection personnel to prompt the passenger inspection personnel to check them. This method can only be used for smugglers who frequently enter and exit the country. It cannot effectively identify smugglers who enter and exit the country less frequently. The degree of missed detection of smugglers is high, and once missed, it is impossible to determine the whereabouts of smugglers in a timely and accurate manner, and the capture effect is poor. Summary of the invention

[0003] The present application provides a method for identifying a target object and a customs comprehensive identification and evaluation system, which identifies the target object by tracking the specific behavior of a specific profiled person after entry, so that travel inspection personnel can screen the target object, which can effectively reduce the missed detection rate of smugglers and improve the accuracy of monitoring by the customs comprehensive identification and evaluation system.

[0004] The present application provides a method for identifying a target object, the method comprising: marking a specific portrait person in a transit hall, the specific portrait person being a person who meets preset physical characteristics and has not been marked as the target object; detecting that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time; detecting that the vehicle is not marked as the target object, obtaining physical appearance information of the specific portrait person at the time of getting on and getting off the vehicle, the physical appearance information at least including body shape information and clothing information; detecting that the physical appearance information of the specific portrait person at the time of getting on and getting off the vehicle is inconsistent, then marking the specific portrait person as the target object.

[0005] In some embodiments, the detecting that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time includes: acquiring a first image of the specific portrait person at the time of getting on the vehicle and a second image at the time of getting off the vehicle; extracting first identity information and second identity information based on the first image and the second image; if the first identity information is the same as the second identity information, continuing to execute the step of "detecting that the vehicle is not marked as the target object".

[0006] In some embodiments, obtaining the physical information of the specific portrait person at the time of getting on and off the bus includes: extracting first clothing information and first body shape information from the first image, and extracting second clothing information and second body shape information from the second image, wherein the body shape information includes at least clothing bulkiness and waist-to-hip ratio information.

[0007] In some embodiments, the detecting that the physical information of the same specific portrait person at the time of getting on the bus and the time of getting off the bus is inconsistent includes: determining whether the first clothing information is the same as the second clothing information; if they are the same, determining whether the clothing bulkiness and waist-to-hip ratio information in the first image and the second image are consistent; if they are consistent, determining that the specific portrait person is not the target object; if they are inconsistent, marking the specific portrait person as the target object.

[0008] In some embodiments, after determining whether the first clothing information is the same as the second clothing information, the method further includes: if they are different, marking the specific portrait person as the target object.

[0009] In some embodiments, after marking the specific portrait person as the target object, the method further includes: marking the vehicle and the driver of the vehicle as the target object.

[0010] In some embodiments, the method further includes: detecting that a person marked as the target object appears again in the transit hall; or, detecting that a vehicle marked as the target object appears again in a specific area outside the transit hall; or, detecting that a driver marked as the target object appears in a specific area outside the transit hall driving a vehicle not marked as the target object; and issuing an alarm message.

[0011] In some embodiments, after detecting that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time, the method further includes: detecting that the vehicle is marked as the target object, and marking the specific portrait person entering the vehicle as the target object.

[0012] The present application provides a device for identifying a target object, comprising: a control module, used to execute the step instructions in any one of the above-mentioned target object identification methods; a data acquisition module, used to obtain personnel information or vehicle information in a transit hall or a specific area outside the transit hall; and a communication module, used to send an alarm message to a customs officer when the control module detects that a person or vehicle marked as a target object appears in the transit hall or the specific area outside the transit hall.

[0013] The present application provides a customs comprehensive identification and evaluation system, including the identification device provided in the above embodiment.

[0014] It can be seen that in the embodiment of the present application, the recognition device marks a specific portrait person in the transit hall, and the specific portrait person refers to a person who meets the preset physical characteristics and has not been marked as a target object; it is detected that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time; it is detected that the vehicle is not marked as a target object, and the physical information of the specific portrait person at the time of getting on and getting off the vehicle is obtained, and the physical information includes at least body shape information and clothing information; if it is detected that the physical information of the specific portrait person at the time of getting on and getting off the vehicle is inconsistent, the specific portrait person is marked as a target object. In this application, the target object is identified by tracking the specific behavior of the specific portrait person after entering the country. Compared with the prior art that only marks the target object by the number of entries and exits, this application can effectively reduce the missed detection rate of smugglers and improve the accuracy of the monitoring of the customs comprehensive identification and evaluation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them,

[0016] Figure 1 A schematic diagram of the structure of a target object identification device provided in an embodiment of the present application;

[0017] Figure 2 A schematic diagram of the structure of an identification device provided in an embodiment of the present application;

[0018] Figure 3 A structural block diagram of a customs comprehensive identification and evaluation system provided in an embodiment of the present application;

[0019] Figure 4 A schematic diagram of a process for identifying a target object provided in an embodiment of the present application;

[0020] Figure 5 One of the schematic diagrams for comparing the physical appearance information of specific portrait persons provided in the embodiment of the present application;

[0021] Figure 6 The second schematic diagram of the comparison of the physical appearance information of a specific portrait person provided in the embodiment of the present application;

[0022] Figure 7 A block diagram of the functional units of a target object identification device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but in some embodiments also includes steps or units that are not listed, or in some embodiments also includes other steps or units inherent to these processes, methods, products or devices.

[0025] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0026] In the embodiments of the present application, "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent the following three situations: A exists alone; A and B exist at the same time; B exists alone. Among them, A and B can be singular or plural.

[0027] In the embodiment of the present application, the symbol " / " can indicate that the objects associated with each other are in an "or" relationship. In addition, the symbol " / " can also indicate a division sign, that is, performing a division operation. For example, A / B can indicate A divided by B.

[0028] In the embodiments of the present application, "at least one item" or similar expressions refer to any combination of these items, including any combination of single items or plural items, and refer to one or more, and multiple refers to two or more. For example, at least one item of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0029] In the embodiments of the present application, "equal to" can be used in conjunction with greater than, and is applicable to the technical solution adopted when greater than, and can also be used in conjunction with less than, and is applicable to the technical solution adopted when less than. When equal to is used in conjunction with greater than, it is not used in conjunction with less than; when equal to is used in conjunction with less than, it is not used in conjunction with greater than.

[0030] The target objects in this application refer to persons who need to be checked to confirm whether they are smuggled passengers. Smuggled passengers refer to a large number of people who carry or transport taxable goods or prohibited or restricted items into and out of the country through travel inspection and other channels between the Guangdong-Hong Kong, Guangdong-Macao and other travel inspection ports for the purpose of earning carrying fees.

[0031] For the no-declaration channel in the customs, it is impossible to conduct 100% inspection at the passenger inspection site with a large passenger flow, because this will cause congestion. Therefore, the passenger inspection personnel will conduct random inspections on people with specific signs. The specific signs are usually: people who have entered and exited the country many times, people with abnormal body shape and gait, and people carrying backpacks. However, when the smuggler hides a large number of small electronic products such as flash memory, chips, SIM cards and other high-value electronic products, their body shape and gait are basically the same as normal people, and it is difficult to see the abnormality from the appearance. When the smuggler does not have the characteristics of frequent entry and exit, it is very easy to cause missed inspection. After this type of smuggler enters the country, some smugglers will unload goods on vehicles outside the port, accompanied by characteristics such as changing clothes and changing body shape. The present application provides a target object identification method and a customs comprehensive identification and evaluation system, which identifies the target object by tracking the specific behavior of specific portrait personnel after entering the country, so that the passenger inspection personnel can check the target object, which can effectively reduce the missed inspection rate of smugglers and improve the accuracy of monitoring by the customs comprehensive identification and evaluation system.

[0032] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0033] See also Figure 1 , Figure 1 A schematic diagram of a target object recognition device provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the identification device 1 at least includes a control module 11, a data acquisition module 12 and a communication module 13, wherein:

[0034] The control module 11 is used to execute the step instructions in the target object recognition method provided in the embodiment of the present application.

[0035] The data collection module 12 is used to obtain the personnel information or vehicle information in the transit hall or a specific area outside the transit hall, wherein the personnel information at least includes identity information and physical appearance information.

[0036] The communication module 13 is used to send an alarm message to the customs personnel when the control module detects that a person or vehicle marked as a target object appears in the transit hall or a specific area outside the transit hall.

[0037] For specific implementation, please refer to Figure 2 , Figure 2 The structural diagram of the identification device provided in the embodiment of the present application, the identification device 1 includes a processor 21, a memory 22, a communication interface 23 and one or more programs 221, wherein the one or more programs 221 are stored in the memory 22 and are configured to be executed by the processor 21, and the one or more programs 221 include instructions for executing any step in the following method embodiment. In a specific implementation, the processor 21 is used to execute any step executed by the identification device 1 in the following embodiment, and when performing data transmission such as sending, the communication interface 23 can be selectively called to complete the corresponding operation.

[0038] See also Figure 3 , Figure 3 This is a structural block diagram of a customs comprehensive identification and evaluation system provided in an embodiment of the present application. The customs comprehensive identification and evaluation system 2 includes: Figure 1 The identification device 1 is shown.

[0039] Based on the above hardware structure, an embodiment of the target object recognition method of the present application is proposed.

[0040] See also Figure 4 , Figure 4 A flow chart of a target object identification method provided in an embodiment of the present application is shown as follows: Figure 4 As shown, the method is applied to the identification device in the above embodiment, and the method includes:

[0041] Step S401, marking a specific person with a portrait in the transit hall.

[0042] The specific portrait person refers to a person who meets the preset physical characteristics and has not been marked as the target object. The preset physical characteristics include but are not limited to wearing skirts and loose clothing, and of course other preset physical characteristics that meet the requirements of hiding small items. The method provided in this application is mainly aimed at "white bottom smugglers", that is, smugglers who have not been marked and have not been seized.

[0043] Step S402: It is detected that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time.

[0044] Among them, the preset time is usually short, for example, about 5 minutes. The characteristic of the vehicle is that when the specific portrait person gets on the vehicle, the vehicle will circle around the port, and after the preset time, the specific portrait person will be taken to the entrance of the transit hall again.

[0045] In some embodiments, the detecting that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time includes: acquiring a first image of the specific portrait person at the time of getting on the vehicle and a second image at the time of getting off the vehicle; extracting first identity information and second identity information based on the first image and the second image; if the first identity information is the same as the second identity information, continuing to execute the step of "detecting that the vehicle is not marked as the target object".

[0046] The first identity information and the second identity information are used to identify the same specific portrait person. Specifically, if there are multiple specific portrait persons getting on the bus at the same time, multiple first images are obtained, and multiple first identity information is extracted based on the first images; when getting off the bus is detected, the second image of the person getting off the bus is obtained, and the second identity information is extracted based on the second image. The second identity information is matched with the multiple first identity information to determine that the person is the same specific portrait person at the time of getting on the bus and the time of getting off the bus, and subsequent detection is performed on the same specific portrait person.

[0047] The first identity information and the second identity information are extracted from the first image and the second image. A face recognition algorithm may be used to extract face information from the first image and the second image, and the identity information is obtained based on the face information.

[0048] In some embodiments, if there is no first identity information that is identical to the second identity information, no subsequent detection is performed.

[0049] It can be seen that in this embodiment, by analyzing the image information at the time of getting on the bus and the time of getting off the bus, it is ensured whether the person at the time of getting on the bus and the time of getting off the bus is the same specific portrait person.

[0050] Step S403: Detect that the vehicle is not marked as the target object, and obtain the physical information of the specific portrait person at the time of getting on and getting off the vehicle.

[0051] The physical appearance information at least includes body shape information and clothing information. The body shape information includes but is not limited to the bulkiness and waist-to-hip ratio of clothing, and the clothing information mainly includes the hat, clothing and other information of the specific portrait person.

[0052] Among them, it is also necessary to determine whether to mark a vehicle as a target object. If a vehicle has been found to be driven by a smuggler, the vehicle must be marked as a target object at the same time as the smuggler is marked, so that when the vehicle appears near the port again, the driver and his companions can be checked.

[0053] In some embodiments, obtaining the physical information of the specific portrait person at the time of getting on and off the bus includes: extracting first clothing information and first body shape information from the first image, and extracting second clothing information and second body shape information from the second image, wherein the body shape information includes at least clothing bulkiness and waist-to-hip ratio information.

[0054] Step S404: if it is detected that the physical information of the specific portrait person at the time of getting on the bus and the time of getting off the bus are inconsistent, the specific portrait person is marked as the target object.

[0055] In some embodiments, the detecting that the physical information of the same specific portrait person at the time of getting on the bus and the time of getting off the bus is inconsistent includes: determining whether the first clothing information is the same as the second clothing information; if they are the same, determining whether the clothing bulkiness and waist-to-hip ratio information in the first image and the second image are consistent; if they are consistent, determining that the specific portrait person is not the target object; if they are inconsistent, marking the specific portrait person as the target object.

[0056] Among them, after entering the country, one type of smugglers will cooperate with domestic vehicles to unload goods on the vehicle, and then leave the country again with the goods after unloading. Some smugglers may change their clothes or not after unloading. For those who do not change their clothes, although the changes in their body shape after unloading are difficult to detect with the naked eye, if the body shape information before and after unloading is compared and analyzed, there are still changes between the two. Therefore, if the first clothing information is the same as the second clothing information, it means that the specific portrait person has not changed clothes, and then the bulkiness and waist-to-hip ratio information of the clothing are extracted from the first image and the second image respectively, and the first body shape information is judged to be consistent with the second body shape information within the allowable error range. If the bulkiness of the clothing is different or the waist-to-hip ratio information is different, the specific portrait person is marked as the target object.

[0057] For specific implementation, see Figure 5 , Figure 5 This is one of the schematic diagrams for comparing the physical appearance information of specific portrait persons provided in the embodiment of the present application, such as Figure 5 As shown, the processor analyzes the clothing information in the first image 51 and the second image 52, and compares whether the clothing information is the same, including determining whether the type, pattern, color, size, etc. of the clothing has changed. If the clothing information in the first image 51 and the second image 52 has not changed, the clothing bulkiness and waist-to-hip ratio information of the person in the image are analyzed, such as Figure 5 If the clothing bulkiness and waist-to-hip ratio information in the first image 51 and the second image 52 are inconsistent, the specific portrait person is marked as a target object.

[0058] In some embodiments, after determining whether the first clothing information is the same as the second clothing information, the method further includes: if they are different, marking the specific portrait person as the target object.

[0059] If the first clothing information is different from the second clothing information, it indicates that the specific portrait person has changed clothes, and the specific portrait person is directly marked as a target object.

[0060] For specific implementation, see Figure 6 , Figure 6 The second schematic diagram of the comparison of the physical appearance information of a specific portrait person provided in the embodiment of the present application is as follows: Figure 6 As shown, the processor analyzes the clothing information in the first image 51 and the second image 52, and compares whether the clothing information is the same, including determining whether the type, shape, color, size, etc. of the clothing has changed. If the clothing information in the first image 51 and the second image 52 has changed, the specific portrait person is directly marked as the target object.

[0061] It can be seen that in the embodiment of the present application, the recognition device marks a specific portrait person in the transit hall, and the specific portrait person refers to a person who meets the preset physical characteristics and has not been marked as a target object; it is detected that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time; it is detected that the vehicle is not marked as a target object, and the physical information of the specific portrait person at the time of getting on and getting off the vehicle is obtained, and the physical information includes at least body shape information and clothing information; if it is detected that the physical information of the specific portrait person at the time of getting on and getting off the vehicle is inconsistent, the specific portrait person is marked as a target object. In this application, the target object is identified by tracking the specific behavior of the specific portrait person after entering the country. Compared with the prior art that only marks the target object by the number of entries and exits, this application can effectively reduce the missed detection rate of smugglers and improve the accuracy of the monitoring of the customs comprehensive identification and evaluation system.

[0062] In some embodiments, after marking the specific portrait person as the target object, the method further includes: marking the vehicle and the driver of the vehicle as the target object.

[0063] It can be seen that if a specific portrait person is marked as a target object, the person or vehicle associated with the specific portrait person is directly marked as a target object to improve monitoring efficiency.

[0064] In some embodiments, the method further includes: detecting that a person marked as the target object appears again in the transit hall; or, detecting that a vehicle marked as the target object appears again in a specific area outside the transit hall; or, detecting that a driver marked as the target object appears in a specific area outside the transit hall driving a vehicle not marked as the target object; and issuing an alarm message.

[0065] It can be seen that in this embodiment, when a person or vehicle marked as a target object is detected to appear again in the transit hall or a specific area near the transit hall, an alarm message can be sent to the passenger inspection personnel in a timely manner so that the passenger inspection personnel can check the target object, reduce the missed detection rate, and provide the accuracy of customs supervision.

[0066] In some embodiments, after detecting that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time, the method further includes: detecting that the vehicle is marked as the target object, and marking the specific portrait person entering the vehicle as the target object.

[0067] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that, in order to realize the above functions, the server includes a hardware structure and / or software module corresponding to the execution of each function. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present application.

[0068] The embodiment of the present application can divide the server into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of a software program module. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical functional division, and there may be other division methods in actual implementation.

[0069] In the case of integrated units, see Figure 7 , Figure 7 This is a block diagram of the functional units of a target object identification device provided in an embodiment of the present application. The identification device 1 includes:

[0070] The control unit 701 is used to mark a specific portrait person in the transit hall, where the specific portrait person refers to a person who meets the preset physical characteristics and is not marked as the target object; and detect that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time;

[0071] The receiving unit 702 is used to detect that the vehicle is not marked as the target object, and obtain the physical appearance information of the specific portrait person at the time of getting on and getting off the vehicle, wherein the physical appearance information at least includes body shape information and clothing information;

[0072] The control unit 701 is used to detect that the physical information of the specific portrait person at the time of getting on the bus and the time of getting off the bus is inconsistent, and then mark the specific portrait person as the target object.

[0073] Optionally, the identification device 1 further includes a communication unit 703, and the communication unit 703 may be a module unit for communication.

[0074] It can be seen that in the embodiment of the present application, the recognition device marks a specific portrait person in the transit hall, and the specific portrait person refers to a person who meets the preset physical characteristics and has not been marked as a target object; it is detected that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time; it is detected that the vehicle is not marked as a target object, and the physical information of the specific portrait person at the time of getting on and getting off the vehicle is obtained, and the physical information includes at least body shape information and clothing information; if it is detected that the physical information of the specific portrait person at the time of getting on and getting off the vehicle is inconsistent, the specific portrait person is marked as a target object. In this application, the target object is identified by tracking the specific behavior of the specific portrait person after entering the country. Compared with the prior art that only marks the target object by the number of entries and exits, this application can effectively reduce the missed detection rate of smugglers and improve the accuracy of the monitoring of the customs comprehensive identification and evaluation system.

[0075] In some embodiments, the control unit 701 detects that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time, and the receiving unit 702 is also used to: obtain a first image of the specific portrait person at the time of getting on the vehicle and a second image at the time of getting off the vehicle; the control unit 701 is also used to: extract first identity information and second identity information based on the first image and the second image; if the first identity information is the same as the second identity information, continue to execute the step of "detecting that the vehicle is not marked as the target object".

[0076] In some embodiments, the receiving unit 702 obtains the physical information of the specific portrait person at the time of getting on and off the bus, including: extracting first clothing information and first body shape information from the first image, and extracting second clothing information and second body shape information from the second image, wherein the body shape information includes at least clothing bulkiness and waist-to-hip ratio information.

[0077] In some embodiments, the control unit 701 detects that the physical information of the same specific portrait person at the time of getting on the bus and the time of getting off the bus is inconsistent, including: determining whether the first clothing information is the same as the second clothing information; if they are the same, determining whether the clothing bulkiness and waist-to-hip ratio information in the first image and the second image are consistent; if they are consistent, determining that the specific portrait person is not the target object; if they are inconsistent, marking the specific portrait person as the target object.

[0078] In some embodiments, after the control unit 701 determines whether the first clothing information is the same as the second clothing information, the control unit 701 is further used to: if they are different, mark the specific portrait person as the target object.

[0079] In some embodiments, after the control unit 701 marks the specific portrait person as the target object, the control unit 701 is further used to: mark the vehicle and the driver of the vehicle as the target object.

[0080] In some embodiments, the control unit 701 is further used to: detect that a person marked as the target object appears again in the transit hall; or, detect that a vehicle marked as the target object appears again in a specific area outside the transit hall; or, detect that a driver marked as the target object appears in a specific area outside the transit hall driving a vehicle not marked as the target object; and the communication unit 703 is used to issue an alarm message.

[0081] In some embodiments, after the control unit 701 detects that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time, the control unit 701 is further used to: detect that the vehicle is marked as the target object, and mark the specific portrait person entering the vehicle as the target object.

[0082] It can be understood that since the method embodiment and the device embodiment are different presentation forms of the same technical concept, the content of the method embodiment part in this application should be synchronously adapted to the device embodiment part and will not be repeated here.

[0083] An embodiment of the present application provides a computer-readable storage medium having a computer program / instruction stored thereon. When the computer program / instruction is executed by a processor, the steps of the method described in any possible embodiment are implemented.

[0084] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0085] In the several embodiments provided in the present application, it should be understood that the disclosed methods, devices and systems can be implemented in other ways. For example, the device embodiments described above are merely schematic; for example, the division of the unit is only a logical function division, and there may be other division methods in actual implementation; for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0086] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0087] In addition, each functional unit in each embodiment of the present application can be integrated into a processing module, or each unit can be physically included separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0088] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a volatile memory or a non-volatile memory. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synchlink DRAM, SLDRAM) and direct memory bus random access memory (directrambus RAM, DR RAM) and other media that can store program code.

[0089] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions without departing from the spirit and scope of the present application, and can make various changes and modifications, including the combination of the above-mentioned different functions and implementation steps, including software and hardware implementation methods, all of which are within the scope of protection of the present application.

Claims

1. A method for identifying a target object, characterized in that: The method comprises: Marking specific portrait persons in the transit hall, wherein the specific portrait persons refer to persons who meet the preset physical characteristics and are not marked as the target objects; Detecting that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time, obtaining a first image of the specific portrait person at the time of getting on the vehicle and a second image of the specific portrait person at the time of getting off the vehicle; extracting first identity information and second identity information according to the first image and the second image; If the first identity information is the same as the second identity information, and it is detected that the vehicle is not marked as the target object; Extracting first clothing information and first body shape information from the first image, and extracting second clothing information and second body shape information from the second image, wherein the body shape information includes clothing bulkiness and waist-to-hip ratio information; determining whether the first clothing information is the same as the second clothing information; If they are the same, determining whether the clothing bulkiness and waist-to-hip ratio information in the first image and the second image are consistent; If they are consistent, it is determined that the specific portrait person is not the target object; If they are inconsistent, the specific portrait person is marked as the target object; If different, the specific portrait person is marked as the target object.

2. The method according to claim 1, characterized in that: After marking the specific portrait person as the target object, the method further includes: The vehicle and the driver of the vehicle are marked as the target objects.

3. The method according to claim 2, characterized in that The method further comprises: It is detected that the person marked as the target object appears in the transit hall again; or, It is detected that the vehicle marked as the target object appears again in the specific area outside the transit hall; or, Detecting that a driver marked as the target object appears in a specific area outside the transit hall driving a vehicle not marked as the target object; Issue a warning message.

4. The method according to claim 1, characterized in that After detecting that the specific portrait person enters a vehicle in a specific area outside the transit hall and leaves the vehicle within a preset time, the method further includes: The vehicle is detected to be marked as the target object, and a specific portrait person entering the vehicle is marked as the target object.

5. A target object recognition device, characterized in that: include: A control module, configured to execute the step instructions of the method according to any one of claims 1 to 4; A data collection module, used to obtain personnel information or vehicle information in the transit hall or a specific area outside the transit hall; The communication module is used to send an alarm message to the customs personnel when the control module detects that a person or vehicle marked as a target object appears in the transit hall or a specific area outside the transit hall.

6. A customs comprehensive identification and evaluation system, characterized in that: Comprising the identification device as claimed in claim 5.

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