A mobile object detection method, device and computer readable storage medium

Abstract

The application is suitable for the field of infrared sensor technology, and provides a moving object detection method and device and a computer readable storage medium, which comprises the following steps: determining a transfer function of a filter circuit based on initial circuit parameters of the filter circuit; determining initial infrared radiation data corresponding to different regions respectively, wherein the infrared radiation data corresponding to different areas is different; determining a lateral output amplitude and a radial output amplitude corresponding to different regions respectively according to the initial infrared radiation data corresponding to different regions respectively, the transfer function, a first preset distance of lateral movement of a moving object and a second preset distance of radial movement of the moving object; determining a sum of the lateral output amplitudes and a sum of the radial output amplitudes in all regions; and determining target circuit parameters of the filter circuit and / or target areas or target space angles corresponding to different regions respectively according to the sum of the lateral output amplitudes and the sum of the radial output amplitudes.

Description

Technical Field

[0001] This application belongs to the field of infrared sensor technology, and in particular relates to a method, apparatus and computer-readable storage medium for detecting moving objects. Background Technology

[0002] A typical pyroelectric infrared (PIR) system includes: pyroelectric infrared elements, Fresnel lenses, operational amplifier circuits, and filter circuits.

[0003] In conventional designs, the cutoff frequency of the filter circuit is designed based on the cutting frequency of the Fresnel lens segments when a person walks within the PIR detection range in different directions and at different speeds, which is the frequency of the PIR output waveform. In other words, after the parameters of the Fresnel lens are determined, the parameters of the filter circuit need to be adjusted to make the parameters of the Fresnel lens and the parameters of the filter circuit compatible. However, designing Fresnel lenses and filters according to conventional methods will result in the problem of difficulty in balancing the PIR radial detection distance and the PIR lateral detection distance. Summary of the Invention

[0004] This application provides a moving object detection method, apparatus, and computer-readable storage medium, which can solve the problem that it is difficult to balance the PIR radial detection distance and PIR lateral detection distance when designing Fresnel lenses and filters according to conventional methods.

[0005] In a first aspect, embodiments of this application provide a moving object detection method applied to a PIR system, the PIR system including a filter circuit and a Fresnel lens, comprising:

[0006] Based on the initial circuit parameters of the filter circuit, determine the transfer function of the filter circuit;

[0007] Initial infrared radiation data corresponding to different preset regions are determined separately. The detection area of ​​the Fresnel lens includes the different preset regions.

[0008] Based on the initial infrared radiation data, transfer function, first preset distance of lateral movement of the moving object, and second preset distance of radial movement of the moving object corresponding to different preset regions, determine the lateral output amplitude and radial output amplitude corresponding to different preset regions respectively;

[0009] Determine the sum of the horizontal output amplitude and the sum of the radial output amplitude in all regions, wherein the sum of the horizontal output amplitude corresponds to the first preset distance and the sum of the radial output amplitude corresponds to the second preset distance;

[0010] Based on whether the sum of the horizontal output amplitude and the sum of the radial output amplitude are the same, determine the target circuit parameters of the filter circuit, and / or the target area or target spatial angle corresponding to different regions.

[0011] The first aspect provides a moving object detection method that pre-sets a preset distance for the lateral movement and a preset distance for the radial movement of the moving object. This allows for the determination of the lateral and radial output amplitudes corresponding to different preset regions based on these distances. Furthermore, the method determines the target circuit parameters of the filtering circuit and / or the target area or target spatial angle corresponding to different regions based on whether the sum of the lateral and radial output amplitudes is the same. This avoids the problem of balancing the lateral and radial detection distances when determining the parameters of the Fresnel lens and the filtering circuit.

[0012] In one possible implementation of the first aspect, if the sum of the horizontal output amplitudes is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit, and the target area corresponding to different regions is the same as the preset area.

[0013] In one possible implementation of the first aspect, if the sum of the transverse output amplitudes differs from the sum of the radial output amplitudes, the method further includes:

[0014] Adjust the preset area or preset angle of different regions, and / or adjust the initial circuit parameters of the filter circuit;

[0015] Using the adjusted infrared radiation data corresponding to different regions, and / or the adjusted initial circuit parameters of the filter circuit, determine the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment.

[0016] Based on the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment, the target circuit parameters of the filter circuit and the target area or target spatial angle corresponding to the different regions are determined.

[0017] In one possible implementation of the first aspect, if the sum of the lateral output amplitudes corresponding to the different regions after adjustment is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the adjusted filter circuit, and / or, the target area of ​​the different regions is the area of ​​the different regions after adjustment, or the target spatial angle of the different regions is the spatial angle of the different regions after adjustment.

[0018] In one possible implementation of the first aspect, if the sum of the lateral output amplitudes corresponding to the different adjusted regions is not the same as the sum of the radial output amplitudes, and the different regions include lateral detection regions and radial detection regions, the method further includes:

[0019] Based on the initial infrared radiation data corresponding to the lateral detection area, a first infrared radiation data is added, and based on the initial infrared radiation data corresponding to the radial detection area, a second infrared radiation data is added to obtain the updated infrared radiation data corresponding to the preset different areas respectively; or, a first area is added to the lateral detection area, and a second area is added to the radial detection area.

[0020] Based on the updated infrared radiation data corresponding to the different regions after adjustment, determine the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment;

[0021] Based on the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment, the target circuit parameters of the filter circuit and the target area or target spatial angle corresponding to the different regions are determined.

[0022] In one possible implementation of the first aspect, if the sum of the lateral output amplitudes corresponding to the different regions after adjustment is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit, and / or, the target area of ​​the different regions is a preset area or the target spatial angle of the different regions is a preset spatial angle.

[0023] In one possible implementation of the first aspect, if the sum of the lateral output amplitudes corresponding to the different adjusted regions is not the same as the sum of the radial output amplitudes, the method further includes:

[0024] Adjust the preset area or preset spatial angle of different regions, and / or adjust the initial circuit parameters of the filter circuit;

[0025] Using the infrared radiation data corresponding to different regions after adjustment, and / or the initial circuit parameters of the adjusted filter circuit, the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to different regions after adjustment are determined respectively.

[0026] If the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment are the same, the target circuit parameters of the filter circuit are determined, and / or, the target area of ​​the different regions is the area of ​​the different regions after adjustment or the target spatial angle of the different regions is the spatial angle after adjustment.

[0027] In one possible implementation of the first aspect, the preset different regions include: a preset upper region, a preset middle region, and a preset bottom region; the preset middle region corresponds to the horizontal detection region, and the preset upper region and the preset bottom region correspond to the radial detection regions.

[0028] The initial infrared radiation data corresponding to the preset central region includes: infrared radiation data corresponding to the human head and hands;

[0029] The initial infrared radiation data corresponding to the upper region is preset to include: infrared radiation data corresponding to the human head and hands;

[0030] The initial infrared radiation data corresponding to the preset bottom area includes: infrared radiation data corresponding to the legs of the human body;

[0031] Adjust the preset area of ​​different regions, including: adjust the area of ​​the radial detection region.

[0032] Secondly, embodiments of this application provide a moving object detection device, the device comprising:

[0033] The first determining unit is used to determine the transfer function of the filter circuit based on the initial circuit parameters of the filter circuit.

[0034] The second determining unit is used to determine the initial infrared radiation data corresponding to different preset regions respectively. The detection area of ​​the Fresnel lens includes the different preset regions.

[0035] The third determining unit is used to determine the lateral output amplitude and radial output amplitude corresponding to the preset different regions based on the initial infrared radiation data, transfer function, first preset distance of lateral movement of the moving object, and second preset distance of radial movement of the moving object corresponding to the preset different regions respectively.

[0036] The fourth determining unit is used to determine the sum of the horizontal output amplitude and the sum of the radial output amplitude in all regions, wherein the sum of the horizontal output amplitude corresponds to the first preset distance and the sum of the radial output amplitude corresponds to the second preset distance;

[0037] The fifth determining unit is used to determine the target circuit parameters of the filter circuit, the target area or target spatial angle corresponding to different regions, based on whether the sum of the horizontal output amplitude and the sum of the radial output amplitude are the same.

[0038] Thirdly, embodiments of this application provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method as described in any of the embodiments of the first aspect above.

[0039] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program or instructions, which, when read and executed by a computer, causes the computer to perform the steps of the method as described in any of the embodiments of the first aspect above.

[0040] Fifthly, embodiments of this application provide a computer program product that, when run on a server, causes the server to execute the steps of the method in any of the embodiments of the first aspect above.

[0041] In a sixth aspect, embodiments of this application provide a chip, including: a processor for calling and running a computer program from a memory, causing a computer device on which the chip is installed to perform the method as described in any of the embodiments of the first aspect above.

[0042] It is understood that the beneficial effects of the second to sixth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a top view of a Fresnel lens partition and a moving heat source provided in an embodiment of this application;

[0045] Figure 2 This is a schematic diagram of the horizontal detection distance of a Fresnel lens provided in an embodiment of this application;

[0046] Figure 3 This is a schematic diagram of the vertical detection distance of a Fresnel lens provided in an embodiment of this application;

[0047] Figure 4 This is a schematic diagram of the partitioning of the detection area corresponding to a Fresnel lens provided in one embodiment of this application;

[0048] Figure 5 This is a schematic flowchart of a moving object detection method provided in an embodiment of this application;

[0049] Figure 6 This is a schematic diagram of the moving object detection device provided in the embodiments of this application;

[0050] Figure 7 This is a schematic diagram of the internal structure of the computer device provided in the embodiments of this application. Detailed Implementation

[0051] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0052] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0053] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0054] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrases "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0055] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0056] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0057] To make this application easier to understand, the relevant technologies involved in this application are explained below.

[0058] Pyroelectric infrared (PIR) sensors are typically used in conjunction with Fresnel lenses to detect human movement. The PIR sensor detects and receives infrared radiation through the Fresnel lens, converting the received radiation into a voltage signal output. The amplitude of this voltage signal is very small, typically from µV to mV. Therefore, an operational amplifier circuit is connected to the PIR output to amplify the voltage signal. However, while amplifying the PIR output voltage signal, the operational amplifier circuit also amplifies interference signals from the environment (e.g., radio frequency signals). Therefore, a filtering circuit is needed to filter out the interference signals, resulting in a filtered voltage signal. The filtered output waveform of the simulated PIR sensor is then sampled, and its amplitude and frequency characteristics are analyzed to determine whether someone has passed by, thus deciding whether to trigger a human presence event.

[0059] In conventional designs, the cutoff frequency of the filter is designed based on the cutting frequency of the Fresnel lens segments when a person walks in different directions and speeds within the PIR detection range, which is the frequency of the PIR output waveform. In other words, the parameters of the filter circuit need to be adapted and adjusted after the parameters of the Fresnel lens are designed.

[0060] Designing Fresnel lenses and filters using the conventional method described above presents a challenge in balancing radial and lateral detection distances. This imbalance manifests primarily in the following way: increasing the radial detection distance significantly increases the lateral detection distance, leading to severe false alarms. This is because the trigger amplitude during radial movement is relatively low, and the cut-off frequency of the Fresnel lens's bright area during radial movement is very low. This is similar to the cut-off frequency of the Fresnel lens's bright area during long-distance lateral movement, resulting in a similar output amplitude triggered by the PIR sensor. Radial trigger distances are typically increased by increasing the Fresnel lens area, improving the sensitivity of the PIR sensor, and increasing the amplification factor of the operational amplifier circuit. However, this also leads to an increase in lateral distance, making the detection of lateral heat source movement more sensitive and generating significant false alarms. For example, if a PIR sensor has a lateral detection distance of 3m and a radial detection distance of 1m, increasing the radial detection distance to 3m might require increasing the lateral distance to 9m. This would cause previous thermal movements of the target to be detected, resulting in false wake-ups of the device and wasted power.

[0061] The following explains lateral and radial motion. (Reference) Figure 1 , Figure 1 A top view of the Fresnel lens section and the moving heat source. Figure 1 A single point in the PIR can represent a human body or other living heat source. The motion of this point can be decomposed into radial motion (radial movement) and tangential motion (lateral movement) centered on the Fresnel lens. Theoretically, radial motion does not produce PIR output. When a human body moves within the detection range of the PIR, analyzing the body's motion radially and laterally allows us to determine the triggering effect of the body's movement on the PIR. In a PIR system, the lateral detection distance is determined by the body's tangential motion, while the radial detection distance is determined by the radial motion component.

[0062] In view of this, this application provides a moving object detection method. This method combines initial infrared radiation data corresponding to different detection areas of a Fresnel lens, the transfer function of the filter circuit, a first preset distance of lateral movement of the moving object, and a second preset distance of radial movement of the moving object to determine whether the sum of the lateral output amplitude and the sum of the radial output amplitude are the same. If they are not the same, at least one of the area of ​​the detection area or the cutoff frequency of the filter circuit is adjusted until the sum of the output amplitude and the sum of the radial output amplitude are the same. When the sum of the lateral output amplitude and the sum of the radial output amplitude are the same, the area of ​​different detection areas and the parameters of the filter circuit are determined. This solves the problem of balancing the lateral and radial detection distances when adjusting the parameters of the Fresnel lens and the filter circuit, improving the ease of parameter tuning.

[0063] For example, a Fresnel lens can detect in both the horizontal and vertical directions, see reference. Figure 2 A schematic diagram of the horizontal detection range of a Fresnel lens; Reference Figure 3 A schematic diagram of the vertical detection distance of a Fresnel lens.

[0064] Based on the spatial angles corresponding to the Fresnel lens, its detection range can be layered, typically into three or more layers. The main purpose of layering the Fresnel lens is to increase the detection area. (Reference) Figure 4 The detection range of a Fresnel lens is divided into three layers: a central region, an upper region, and a bottom region. The central region is mainly used to detect lateral motion, while the upper and bottom regions are mainly used to detect radial motion. The layered regions of the Fresnel lens are not limited to directional identification; they can also be identified by numbers, such as layer A, layer B, layer C, or zone one, zone two, zone three, etc.

[0065] The moving object detection method provided in this application is applied to a PIR system, which includes an analog PIR sensor, a filtering circuit, an amplification circuit, and a Fresnel lens. This application will use a three-layered detection range of the Fresnel lens as an example to illustrate the moving object detection method provided in this application, combined with... Figure 5 The method includes:

[0066] S501. Based on the initial circuit parameters of the filter circuit, determine the transfer function of the filter circuit.

[0067] By way of example and not limitation, the filtering circuit can be a bandpass filter circuit. Of course, in other implementations of this application, the filtering circuit can also be other forms of filtering circuit. For example, the function of the filtering circuit can be implemented by a similar software filtering algorithm. The embodiments of this application are not limited herein.

[0068] For example, the circuit parameters of a filter circuit may include a cutoff frequency, a cutoff angular frequency, and other parameters used to determine the transfer function of the filter circuit.

[0069] For example, when the filter circuit is a bandpass filter circuit, step S501 includes: calculating the transfer function of the bandpass filter circuit based on the initial high-pass cutoff frequency Fh1 and the initial low-pass cutoff frequency Fl1 of the bandpass filter circuit.

[0070] S502. Based on the first data corresponding to the initial central region and the transfer function of the filter circuit, when the organism moves laterally by a first preset distance M, the first output amplitude Omx1 of the PIR is determined, and when it moves radially by a second preset distance N, the second output amplitude Omy1 of the PIR is determined. The first preset distance M is greater than the second preset distance N.

[0071] Wherein, the first preset distance M is the preset lateral detection distance in the PIR system; the second preset distance N is the preset radial detection distance in the PIR system.

[0072] In the examples below, humans will be used as an example of a living organism. However, it should be understood that a living organism can also be any object capable of emitting infrared radiation.

[0073] Since the human head and hands are mostly exposed throughout the year, to reduce computational workload, the data on the human head and hands can be unified into a single dataset. For example, this unified dataset will be referred to as the "first dataset." Alternatively, the first dataset can include both head infrared radiation data and hand infrared radiation data. This application does not limit this; the infrared radiation data for different regions can be determined based on actual conditions. The infrared radiation data for different regions can be the same or different.

[0074] In one example, taking a PIR doorbell suspended at a height of 1.5m and pointing directly forward for detection, the infrared radiation data corresponding to the initial middle region includes: infrared radiation data corresponding to the head and hands of the human body; the infrared radiation data corresponding to the initial upper region includes: infrared radiation data corresponding to the head and hands of the human body; and the infrared radiation data corresponding to the initial bottom region includes: infrared radiation data corresponding to the legs of the human body.

[0075] It is understandable that when a PIR doorbell can be hung at other heights (such as 0.8m, 1m, 1.2m, etc.), the detection range of the Fresnel lens will be different for different hanging heights. Different detection ranges of Fresnel lenses can be divided into different zones, and the infrared radiation data corresponding to different zones will also be different.

[0076] The following examples illustrate how head infrared radiation data and hand infrared radiation data are obtained.

[0077] As an example and not a limitation, this application uses an equivalent measurement method to measure the infrared radiation data of various parts of the human body. The process of measuring the infrared radiation data of various parts of the human body using the equivalent measurement method is described below:

[0078] The primary sites of PIR response in the human body are exposed skin, including the face and hands, and in summer, the arms and legs. Facial movement can be understood as uniform linear motion and slight swaying perpendicular to the direction of movement. The movements of the hands, arms, and legs can be understood as uniform linear motion and swaying along a fixed axis (shoulder). Because measuring human infrared radiation data is difficult, a fixed circuit and an omnidirectional testing lens are typically used to measure the raw PIR output data generated when different body parts (head, arms, legs, etc.) move at different speeds under different spatial angles, heights, and clothing conditions. This raw PIR output data is then used as equivalent radiation data. By changing the PIR circuit and Fresnel lens, the relationship between the changes can be equivalently applied. For example, this application can use the electrical signal output by the PIR as equivalent radiation data. Furthermore, the infrared radiation data in this application can also be represented in other forms, such as radiation intensity and radiation power. This application can also use other methods to directly or indirectly measure human infrared radiation data. For example, infrared radiation data of the head and hands can be obtained. By collecting data, we can identify the infrared radiation data of various body parts for different population groups. Furthermore, we can obtain infrared radiation data for various body parts of the same population or the same individual under different exercise conditions.

[0079] In one possible implementation, the first data corresponding to the spatial angle of the initial central region can be found based on the mapping relationship between spatial angle and infrared radiation data of human body parts.

[0080] S503. Based on the second data corresponding to the initial upper region and the transfer function of the filter circuit, determine the third output amplitude Oux1 of the PIR when moving laterally by a first preset distance M, and determine the fourth output amplitude Ouy1 of the PIR when moving radially by a second preset distance N. The unit area of ​​the initial upper region is smaller than the unit area of ​​the initial middle region.

[0081] In an example and not a limitation, the second data in this application includes head and hand data. It is not difficult to see that in the embodiments of this application, the first data corresponding to the initial middle region is the same as the second data corresponding to the initial upper region. It can be understood that the first data corresponding to the initial middle region and the second data corresponding to the initial upper region may also be different. For example, the second data may include head data.

[0082] S504. Determine whether the sum of the first output amplitude and the third output amplitude is equal to the sum of the second output amplitude and the fourth output amplitude, that is, determine whether Oux1+Omx1=Ouy1+Omy1 is satisfied; if Oux1+Omx1≠Ouy1+Omy1, execute S505.

[0083] It should be noted that the sum of the first and third output amplitudes is equal to the sum of the second and fourth output amplitudes, indicating that the total output amplitude of the PIR is equal to the total output amplitude of the PIR when the human body moves laterally by a first preset distance, and equal to the total output amplitude of the PIR when the human body moves radially by a second preset distance. This means that the parameters such as the area or spatial angle corresponding to the initial middle region and the initial upper region, and the initial circuit parameters of the filter circuit, are already sufficient to combine the parameter design of the Fresnel lens with the parameter design of the filter circuit to achieve a balance between the lateral detection distance and the radial detection distance, without the need to further adjust the parameters of the Fresnel lens and the filter circuit.

[0084] S505. Adjust at least one of the initial circuit parameters of the initial middle region, the initial upper region, and the filter circuit, and determine whether Oux1+Omx1=Ouy1+Omy1 is satisfied.

[0085] It should be noted that adjusting at least one of the initial parameters of the initial middle region, the initial upper region, and the initial circuit parameters of the filter circuit, and based on at least one of the adjusted parameters of the middle region, the adjusted upper region, and the adjusted circuit parameters of the filter circuit, steps S501 to S503 are executed to update Oux1, Omx1, Ouy1, and Omy1 until Oux1 + Omx1 = Ouy1 + Omy1 is satisfied. In other words, by combining the Fresnel lens parameters with the filter circuit parameters, the total output amplitude of the PIR when the human body moves laterally by a first preset distance M is equal to the total output amplitude of the PIR when the human body moves radially by a second preset distance. This avoids the problem of balancing the lateral and radial detection distances when adjusting the Fresnel lens and filter circuit parameters.

[0086] It is understandable that the initial middle region and the initial upper region are preset. The initial middle region and the initial upper region may not overlap or may overlap. Different regions correspond to different area areas, and different area areas correspond to different infrared radiation data.

[0087] In one possible embodiment, the central region can be adjusted by adjusting the spatial angle of the central region, the upper region can be adjusted by adjusting the corresponding spatial angle of the upper region, and the parameters of the components in the filter circuit can be adjusted to adjust the circuit parameters.

[0088] In one possible implementation, since the initial upper region has a shorter detection distance than the initial middle region, the initial upper region is adjusted first. For example, the spatial frequency of the Fresnel lens is increased, thereby changing the output amplitude of the PIR during radial movement. That is, the magnitudes of the second and fourth output amplitudes of the PIR are changed, so as to satisfy Oux1+Omx1=Ouy1+Omy1.

[0089] If adjusting the initial upper region fails to satisfy Oux1+Omx1=Ouy1+Omy1, then adjust the initial middle region, i.e., change the output amplitude corresponding to PIR during horizontal movement so that the sum of the first and third output amplitudes is equal to the sum of the second and fourth output amplitudes; or adjust the circuit parameters of the filter circuit to change the transfer function of the filter circuit so that the sum of the first and third output amplitudes is equal to the sum of the second and fourth output amplitudes.

[0090] If adjusting at least one of the initial circuit parameters of the initial middle region, the initial upper region, and the filter circuit fails to satisfy Oux1+Omx1=Ouy1+Omy1, i.e., Oux1+Omx1≠Ouy1+Omy1, then a bottom region is considered to be added. This achieves the goal that when the human body moves laterally by a first preset distance M, the total output amplitude of the PIR is equal to the total output amplitude of the PIR when the human body moves radially by a second preset distance. For example, steps S506-S509 below in this application are one implementation of adding a bottom region.

[0091] It should be noted that if adjusting at least one of the initial circuit parameters of the initial middle region, the initial upper region, or the filter circuit fails to satisfy Oux1+Omx1=Ouy1+Omy1, the reason why the PIR system itself cannot achieve the goal of Oux1+Omx1=Ouy1+Omy1 should also be considered.

[0092] S506. If Oux1+Omx1≠Ouy1+Omy1, add third data based on the first data in the initial middle region. Based on the first and third data in the initial middle region and the transfer function of the filter circuit, determine the fifth output amplitude Omx2 of the PIR by moving laterally by a first preset distance M, and the sixth output amplitude Omy2 of the PIR by moving radially by a second preset distance.

[0093] It should be noted that in summer, the arms and legs of the human body are exposed skin, which can trigger a PIR response. Therefore, by adjusting at least one of the initial circuit parameters of the initial middle region, the initial upper region, and the filter circuit, where Oux1+Omx1≠Ouy1+Omy1, data of the arm portion that can trigger a PIR response is added to the first data corresponding to the initial middle region, i.e., the third data. This increases the infrared radiation data that can be detected during lateral detection and changes the output amplitude of the PIR corresponding to the human body moving laterally a first preset distance M.

[0094] S507. In the initial bottom region, based on the fourth data of the initial bottom region and the transfer function of the filter circuit, determine the seventh output amplitude Odx1 corresponding to the PIR when moving laterally by a first preset distance M, and determine the eighth output amplitude Ody1 corresponding to the PIR when moving radially by a second preset distance N.

[0095] It should be noted that in S506, data for the arm portion is added to the initial middle region. Since the initial middle region is mainly used for detection when the human body moves laterally, in order to balance the lateral detection distance and the radial detection distance, and considering that the initial bottom region is also used for detection when the human body moves radially, the leg data of the initial bottom region, i.e., the fourth data, can be used to increase the infrared radiation data that can be detected during radial detection, thereby changing the total output amplitude of PIR when the human body moves radially a second preset distance N.

[0096] S508. Determine whether the sum of the third, fifth, and seventh output amplitudes is equal to the sum of the fourth, sixth, and eighth output amplitudes; that is, determine whether Oux1+Omx2+Odx1=Ouy1+Omy2+Ody1 is satisfied.

[0097] If, after adding the bottom region, the condition Oux1+Omx2+Odx1=Ouy1+Omy2+Ody1 is met, then no adjustment to the bottom region is needed. This ensures that when the human body moves laterally by a first preset distance M, the total output amplitude of the PIR is equal to the total output amplitude of the PIR when the human body moves radially by a second preset distance. The initial circuit parameters of the filter circuit can be used as the parameters of the filter circuit, and the areas or spatial angles corresponding to the initial middle region, initial upper region, and initial bottom region can be used as the parameters of the Fresnel lens for the design of the PIR system. This allows the designed PIR system to avoid the problem of balancing the lateral detection distance and the radial detection distance.

[0098] S509. If Oux1+Omx2+Odx1≠Ouy1+Omy2+Ody1; adjust the bottom area, continue to execute S507 and S508, and check again whether Oux1+Omx2+Odx1=Ouy1+Omy2+Ody1 is satisfied.

[0099] If, after adjusting the bottom region, the conditions Oux1+Omx2+Odx1=Ouy1+Omy2+Ody1 are met, then the initial circuit parameters of the filter circuit are used as the parameters of the filter circuit. The areas or spatial angles corresponding to the initial middle region, the initial upper region, and the adjusted bottom region are used as the parameters of the Fresnel lens for the design of the PIR system. This allows the designed PIR system to avoid the problem of balancing the lateral detection distance and the radial detection distance.

[0100] Through the steps S506-S509 described above, since the arms and legs are exposed in summer, the infrared radiation data corresponding to the arms and legs can be used to adjust the infrared radiation data detected in the lateral detection range and the infrared radiation data detected in the radial range, so that Oux1+Omx2+Odx1=Ouy1+Omy2+Ody1. When the human body moves laterally by a first preset distance M, the total output amplitude of the PIR is equal to the total output amplitude of the PIR when the human body moves radially by a second preset distance, thus achieving the goal of balancing the lateral detection distance and the radial detection distance.

[0101] Understandably, if the condition that the sum of the lateral output amplitudes and the sum of the radial output amplitudes cannot be satisfied, other regions for lateral detection can be added to the lateral detection region to increase the infrared radiation data in the lateral detection region, further changing the sum of the lateral output amplitudes. And / or, other regions for radial detection can be added to the radial detection region to increase the infrared radiation data in the radial detection region, further changing the sum of the radial output amplitudes, thereby satisfying the condition that the sum of the lateral output amplitudes and the sum of the radial output amplitudes are the same.

[0102] As an example and not a limitation, this application uses the middle region for lateral detection and the upper and bottom regions for radial detection only. In practical applications, the upper, middle, and bottom regions can all perform detection in both lateral and radial directions. In one possible embodiment, the middle region is used for radial detection, while the upper and bottom regions can also be used for lateral detection. It is understood that the aforementioned regions can be used in any combination in various directions for detection; for example, the upper and middle regions can be used for lateral detection, the middle region can also be used for radial detection, and the bottom region can be used for radial detection, etc. This application does not limit this approach.

[0103] Furthermore, the sequence numbers of the steps in the above embodiments do not imply 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 this application. Each step can also be automatically optimized and solved using other algorithms, tools, etc.

[0104] Corresponding to the moving object detection method in the above embodiments, Figure 6 A structural block diagram of the moving object detection device provided in an embodiment of this application is shown.

[0105] Reference Figure 6 The moving object detection device 600 includes: a first determining unit 610, a second determining unit 620, a third determining unit 630, a fourth determining unit 640, and a fifth determining unit 650, wherein:

[0106] The first determining unit 610 is used to determine the transfer function of the filter circuit based on the initial circuit parameters of the filter circuit.

[0107] The second determining unit 620 is used to determine the initial infrared radiation data corresponding to different preset regions respectively. The detection area of ​​the Fresnel lens includes the different preset regions.

[0108] The third determining unit 630 is used to determine the lateral output amplitude and radial output amplitude corresponding to the preset different regions based on the preset initial infrared radiation data, transfer function, first preset distance of lateral movement of the moving object, and second preset distance of radial movement of the moving object.

[0109] The fourth determining unit 640 is used to determine the sum of the horizontal output amplitude and the sum of the radial output amplitude in all regions, wherein the sum of the horizontal output amplitude corresponds to the first preset distance and the sum of the radial output amplitude corresponds to the second preset distance;

[0110] The fifth determining unit 650 is used to determine the target circuit parameters of the filter circuit and / or the target area or target spatial angle corresponding to different regions based on whether the sum of the horizontal output amplitude and the sum of the radial output amplitude are the same.

[0111] Optionally, the fifth determining unit 650 is further configured to, if the sum of the lateral output amplitudes is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit, and the target area corresponding to different regions is the same as the preset area, or the target spatial angle corresponding to different regions is the same as the preset spatial angle.

[0112] Optionally, the moving object detection device 600 further includes: an adjustment unit 660, wherein,

[0113] The adjustment unit 660 is used to adjust the preset area or preset spatial angle of different regions and / or adjust the initial circuit parameters of the filter circuit if the sum of the horizontal output amplitudes is different from the sum of the radial output amplitudes.

[0114] The fourth determining unit 640 is also used to determine the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment, using the infrared radiation data corresponding to the different regions after adjustment, and / or the initial circuit parameters of the adjusted filter circuit.

[0115] The fifth determining unit 650 is also used to determine the target circuit parameters of the filter circuit, the target area or target spatial angle corresponding to different regions, based on the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment.

[0116] Optionally, the fifth determining unit 650 is further configured to, if the sum of the lateral output amplitudes corresponding to the different regions after adjustment is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit after adjustment, and / or, the target area of ​​the different regions is the area of ​​the different regions after adjustment or the target spatial angle of the different regions is the spatial angle of the different regions after adjustment.

[0117] Optionally, the moving object detection device 600 further includes: a data addition unit 670, wherein:

[0118] The data addition unit 670 is used to add first infrared radiation data to the initial infrared radiation data corresponding to the horizontal detection area and second infrared radiation data to the initial infrared radiation data corresponding to the radial detection area if the sum of the horizontal output amplitudes corresponding to the different areas are not the same as the sum of the radial output amplitudes. The different areas include the horizontal detection area and the radial detection area. This results in the updated infrared radiation data corresponding to the preset different areas. Alternatively, a first area is added to the horizontal detection area and a second area is added to the radial detection area.

[0119] The fourth determining unit 640 is also used to determine the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment, based on the updated infrared radiation data corresponding to the different regions after adjustment.

[0120] The fifth determining unit 650 is also used to determine the target circuit parameters of the filter circuit, the target area or target spatial angle corresponding to different regions, based on the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment.

[0121] Optionally, the fifth determining unit 650 is further configured to, if the sum of the lateral output amplitudes corresponding to the different regions after adjustment is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit, and / or, the target area of ​​the different regions is a preset area or the target spatial angle of the different regions is a preset spatial angle.

[0122] Optionally, the adjustment unit 660 is also used to adjust the preset area or preset spatial angle of the different regions if the sum of the horizontal output amplitudes corresponding to the different regions after adjustment is not the same as the sum of the radial output amplitudes, and / or adjust the initial circuit parameters of the filter circuit.

[0123] The fourth determining unit is also used to determine the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment, or the target spatial angle of the different regions as the adjusted spatial angle, by using the infrared radiation data corresponding to the different regions after adjustment and / or the initial circuit parameters of the adjusted filter circuit.

[0124] The fifth determining unit is also used to determine the target cutoff frequency of the filter circuit if the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment are the same, and / or the target area of ​​the different regions is the area of ​​the different regions after adjustment.

[0125] Optionally, the preset regions include: a preset upper region, a preset middle region, and a preset bottom region; the preset middle region corresponds to the horizontal detection region, and the preset upper and bottom regions correspond to the radial detection regions.

[0126] The initial infrared radiation data corresponding to the preset central region includes: infrared radiation data corresponding to the human head and hands;

[0127] The initial infrared radiation data corresponding to the upper region is preset to include: infrared radiation data corresponding to the human head and hands;

[0128] The initial infrared radiation data corresponding to the preset bottom area includes: infrared radiation data corresponding to the legs of the human body;

[0129] Adjust the preset area of ​​different regions, including: adjust the area of ​​the radial detection region.

[0130] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0131] One embodiment of this application also provides a computer device 700. For example... Figure 7 As shown, the computer device 700 of this embodiment includes a processor 701, a memory 702, and a computer program 704 stored in the memory 702 and executable on the processor 701. The computer program 704 can be executed by the processor 701 to generate instructions 703, which the processor 701 can use to implement the steps in the various moving object detection method embodiments described above. Alternatively, when the processor 701 executes the computer program 704, it implements the functions of each module / unit in the various device embodiments described above, for example... Figure 6 The functions of the first determining unit 610 to the fifth determining unit 650 shown.

[0132] For example, computer program 704 may be divided into one or more modules / units, one or more of which are stored in memory 702 and executed by processor 701 to complete this application. One or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 704 in computer device 700.

[0133] Those skilled in the art will understand that Figure 7 This is merely an example of computer device 700 and does not constitute a limitation on computer device 700. Computer device 700 may include more or fewer components than shown, or combine certain components, or different components. For example, computer device 700 may also include input / output devices, network access devices, buses, etc.

[0134] The processor 701 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0135] The memory 702 can be an internal storage unit of the computer device 700, such as a hard disk or RAM of the computer device 700. The memory 702 can also be an external storage device of the computer device 700, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the computer device 700. Furthermore, the memory 702 can include both internal and external storage units of the computer device 700. The memory 702 is used to store computer programs and other programs and data required by the computer device 700. The memory 702 can also be used to temporarily store data that has been output or will be output.

[0136] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0137] This application also provides a computer-readable storage medium storing a computer program or instructions. When a computer reads and executes the computer program or instructions, the computer performs the steps in the various method embodiments described above. The readable medium may be a read-only memory (ROM) or a random access memory (RAM), and this application does not impose any limitations on this.

[0138] For example, a computer program or instruction in a computer-readable storage medium is implemented using aspect-oriented programming techniques.

[0139] This application provides a computer program product that, when run on a server, enables the server to implement the steps described in the various method embodiments above.

[0140] This application embodiment also provides a chip including a processing unit and a communication unit. The processing unit may be, for example, a processor, and the communication unit may be, for example, an input / output interface, pins, or circuits. The processing unit can execute computer instructions to cause a computer device to perform any of the moving object detection methods provided in the above-described embodiments of this application.

[0141] Optionally, the computer instructions are stored in a storage unit.

[0142] Optionally, the storage unit can be an internal storage unit within the chip, such as a register or cache. Alternatively, it can be an external storage unit located within the terminal, such as a ROM or other types of static storage devices capable of storing static information and instructions, or random access RAM. The processor mentioned above can be a CPU, microprocessor, ASIC, or one or more integrated circuits used to control the display and control methods of the aforementioned electronic device. The processing unit and the storage unit can be decoupled and located on different physical devices, connected via wired or wireless means to implement their respective functions, thereby supporting the system chip in implementing the various functions described in the above embodiments. Alternatively, the processing unit and the memory can also be coupled to the same device.

[0143] It is understood that the chip provided in this application embodiment can be an integrated circuit for implementing any of the above-described moving object detection methods. The main function of the chip is to execute the steps or processes defined in the moving object detection method of this application embodiment, that is, to implement the moving object detection method of this application embodiment in hardware. The computer-readable storage medium provided in this application embodiment is mainly used to store a computer program. When the computer program is executed, it implements the steps or processes defined in any of the above-described moving object detection methods, that is, to implement the moving object detection method of this application embodiment in the form of computer software.

[0144] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0145] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0146] In the embodiments provided in this application, it should be understood that the disclosed apparatus / devices and methods can be implemented in other ways. For example, the apparatus / device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0147] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0148] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0149] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a device / server, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0150] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for detecting moving objects, characterized in that, Applied to a PIR system, the PIR system including a filter circuit and a Fresnel lens, the method includes: Based on the initial circuit parameters of the filter circuit, the transfer function of the filter circuit is determined; Initial infrared radiation data corresponding to different preset regions are determined respectively, and the detection area of ​​the Fresnel lens includes the different preset regions; Based on the initial infrared radiation data corresponding to the different preset regions, the transfer function, the first preset distance of the lateral movement of the moving object, and the second preset distance of the radial movement of the moving object, the lateral output amplitude and radial output amplitude corresponding to the different preset regions are determined respectively. Determine the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the preset different regions, wherein the sum of the lateral output amplitude corresponds to the first preset distance and the sum of the radial output amplitude corresponds to the second preset distance; Based on whether the sum of the horizontal output amplitude and the sum of the radial output amplitude are the same, the target circuit parameters of the filter circuit are determined, and / or the target area or target spatial angle corresponding to the different regions.

2. The moving object detection method as described in claim 1, characterized in that, If the sum of the horizontal output amplitudes is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit, and the target area corresponding to each of the different regions is the same as the preset area, or the target spatial angle corresponding to each of the different regions is the same as the preset spatial angle.

3. The moving object detection method as described in claim 1, characterized in that, If the sum of the lateral output amplitudes is different from the sum of the radial output amplitudes, the method further includes: Adjust the preset area or preset spatial angle of the different regions, and / or adjust the initial circuit parameters of the filter circuit; Using the adjusted infrared radiation data corresponding to the different regions, and / or the adjusted initial circuit parameters of the filter circuit, the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions are determined respectively. Based on the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment, the target circuit parameters of the filter circuit and the target area or target spatial angle corresponding to the different regions are determined.

4. The moving object detection method as described in claim 3, characterized in that, If the sum of the horizontal output amplitudes corresponding to the different regions after adjustment is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit after adjustment, and / or, the target area of ​​the different regions is the area of ​​the different regions after adjustment, or the target spatial angle of the different regions is the spatial angle of the different regions after adjustment.

5. The moving object detection method as described in claim 3, characterized in that, If the sum of the lateral output amplitudes corresponding to the different adjusted regions is not the same as the sum of the radial output amplitudes, and the different regions include lateral detection regions and radial detection regions, the method further includes: Based on the initial infrared radiation data corresponding to the lateral detection area, a first infrared radiation data is added, and based on the initial infrared radiation data corresponding to the radial detection area, a second infrared radiation data is added to obtain the updated infrared radiation data corresponding to the preset different areas respectively; or, a first area is added to the lateral detection area, and a second area is added to the radial detection area. Based on the updated infrared radiation data corresponding to the different regions after adjustment, determine the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment; Based on the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the different regions after adjustment, the target circuit parameters of the filter circuit and the target area or target spatial angle corresponding to the different regions are determined.

6. The moving object detection method as described in claim 5, characterized in that, If the sum of the horizontal output amplitudes corresponding to the different regions after adjustment is the same as the sum of the radial output amplitudes, then the target circuit parameters of the filter circuit are the initial circuit parameters of the filter circuit, and / or, the target area of ​​the different regions is a preset area or the target spatial angle of the different regions is a preset spatial angle.

7. The moving object detection method as described in claim 5, characterized in that, If the sum of the lateral output amplitudes corresponding to the different adjusted regions is not the same as the sum of the radial output amplitudes, the method further includes: Adjust the preset area or preset spatial angle of the different regions, and / or adjust the initial circuit parameters of the filter circuit; Using the adjusted infrared radiation data corresponding to the different regions, and / or the adjusted initial circuit parameters of the filter circuit, the sum of the lateral output amplitude and the sum of the radial output amplitude corresponding to the different regions are determined respectively. If the sum of the horizontal output amplitudes corresponding to the different regions after adjustment is the same as the sum of the radial output amplitudes, the target circuit parameters of the filter circuit are determined, and / or, the target area of ​​the different regions is the area of ​​the different regions after adjustment or the target spatial angle of the different regions is the spatial angle after adjustment.

8. The moving object detection method as described in claim 5, characterized in that, The preset different regions include: a preset upper region, a preset middle region, and a preset bottom region; the preset middle region corresponds to the lateral detection region, and the preset upper region and the preset bottom region correspond to the radial detection region. The initial infrared radiation data corresponding to the preset central region includes: infrared radiation data corresponding to the head and hands of the human body; The initial infrared radiation data corresponding to the preset upper region includes: infrared radiation data corresponding to the head and hands of the human body; The initial infrared radiation data corresponding to the preset bottom area includes: the infrared radiation data corresponding to the legs of the human body.

9. A moving object detection device, characterized in that, include: The first determining unit is used to determine the transfer function of the filter circuit based on the initial circuit parameters of the filter circuit. The second determining unit is used to determine the initial infrared radiation data corresponding to different preset regions respectively, and the detection area of ​​the Fresnel lens includes the different preset regions; The third determining unit is used to determine the lateral output amplitude and radial output amplitude corresponding to the preset different regions based on the initial infrared radiation data corresponding to the preset different regions, the transfer function, the first preset lateral movement distance, and the second preset radial movement distance. The fourth determining unit is used to determine the sum of the horizontal output amplitude and the sum of the radial output amplitude corresponding to the preset different regions, wherein the sum of the horizontal output amplitude corresponds to the first preset distance and the sum of the radial output amplitude corresponds to the second preset distance; The fifth determining unit is used to determine the target circuit parameters of the filter circuit and the target area or target spatial angle corresponding to the different regions based on whether the sum of the horizontal output amplitude and the sum of the radial output amplitude are the same.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 8.

Images