CN113470079B - Output method and device of foot drop area and electronic equipment - Google Patents

Abstract

A method, device and electronic device for outputting a landing area. In the method, different types of landing areas can be determined based on different types of trajectory data of a specified object, and the weight value of each landing area is determined according to the corresponding relationship between the landing area and the weight value. Compared with using a single type of trajectory data, the method provided by the present application can improve the accuracy and reliability of determining the landing area.

Description

A method, device and electronic device for outputting a landing area

Technical Field

The present application relates to the field of Internet of Things technology, and in particular to a method, device and electronic device for outputting a landing area.

Background Art

At present, with the continuous development of social security construction and Internet of Things technology, the deployment of various video cameras and IoT sensing devices is becoming more and more complete, and the trajectory information that can be collected is also increasing. Through this trajectory information, we can determine the places where people often appear, that is, the areas where people stay.

However, currently, the method for determining the landing area is to use a single trajectory data to complete the determination of the landing area of the person, for example, to determine the landing area of the person based on the analysis of the captured image. This method of using a single trajectory data to determine the landing area of the person results in low accuracy in determining the landing area.

Summary of the invention

The present application provides a method, device and electronic device for outputting a landing area, which are used to determine the landing area of a specified object based on the fusion of different types of trajectory data, thereby improving the accuracy of determining the landing area.

In a first aspect, an embodiment of the present application provides a method for outputting a landing area, the method comprising:

Acquire N types of trajectory data, wherein the trajectory data is a moving trajectory of a specified object, and N is a positive integer greater than or equal to 2;

Determine a corresponding landing area according to the trajectory points of each type of trajectory in the N types of trajectory data;

According to each type of determined landing area, an overlapping landing area of the intersection of each type of landing area is determined;

Based on the corresponding relationship between each type of landing area and the weight value, determine the weight score corresponding to each type of landing area and the overlapping landing areas;

The output is a list of settlement areas containing the weight values of each type of settlement area and the weight values of overlapping areas.

Based on the above description, in an embodiment of the present application, different types of landing areas can be determined based on different types of trajectory data of specified objects, and the weight value of each landing area can be determined according to the correspondence between the landing area and the weight value. Compared with using a single type of trajectory data, the method provided by the present application can improve the accuracy and reliability of determining the landing area.

In a possible design, the corresponding landing area is determined by the trajectory points of each type of trajectory data in the N types of trajectory data, including:

Determine a trajectory point that meets a preset condition in each type of trajectory data, and determine the trajectory point as a landing point corresponding to the designated object;

According to each type of landing point, determine the landing area corresponding to each type of landing point.

By screening the valid trajectory points in the trajectory data, it is ensured that the landing points corresponding to each trajectory data are accurately determined.

In a possible design, the acquiring of N types of trajectory data includes:

Perform data cleaning on the acquired trajectory data of different types to obtain trajectory data that meets preset conditions;

Among the trajectory data obtained by data cleaning, the trajectory data associated with the specified object is screened out to obtain the N types of trajectory data.

By performing a data cleaning process on the collected trajectory data, a more effective and accurate determination of the landing area is ensured.

In a possible design, determining a trajectory point that meets a preset condition in each type of trajectory data, and determining the trajectory point as a landing point corresponding to the designated object includes:

Obtaining the stagnation time of trajectory points in the N types of trajectory data within a specified range;

Determining whether the stagnation time is greater than a preset time threshold;

If the stagnation time is greater than a preset time threshold, the trajectory point is determined as a landing point corresponding to the designated object.

The landing points are determined correspondingly for different types of trajectory data, ensuring the accuracy of the landing points.

In a possible design, determining a trajectory point that meets a preset condition in each type of trajectory data, and determining the trajectory point as a landing point corresponding to the designated object includes:

Obtaining the occurrence frequency of each trajectory point in the N types of trajectory data within a specified range;

Determining whether the occurrence frequency is greater than a preset frequency threshold;

If yes, the trajectory point is determined as the landing point;

If not, the trajectory point is ignored.

The landing points are determined correspondingly for different types of trajectory data, ensuring the accuracy of the landing points.

In a second aspect, an embodiment of the present application provides an output device for a landing area, the device comprising:

An acquisition module, used to acquire N types of trajectory data, wherein the trajectory data is a moving trajectory of a specified object, and N is a positive integer greater than or equal to 2;

A determination module, configured to determine a corresponding landing area according to the trajectory points of each type of trajectory in the N types of trajectory data; and determine an overlapping landing area of the intersection of each type of landing area according to the determined landing areas of each type;

A processing module, used for determining the weight score corresponding to each type of landing area and the overlapping landing areas based on the corresponding relationship between each type of landing area and the weight value;

The output module is used to output a landing area list including the weight value of each type of landing area and the weight value of the overlapping area.

In a possible design, the determination module is specifically used to determine the trajectory points that meet preset conditions in each type of trajectory data, and determine the trajectory points as the landing points corresponding to the specified object; based on each type of landing points, determine the landing area corresponding to each type of landing points.

In one possible design, the determination module is specifically used to obtain the stagnation time of a trajectory point in the N types of trajectory data within a specified range; determine whether the stagnation time is greater than a preset time threshold; if the stagnation time is greater than the preset time threshold, determine the trajectory point as a landing point corresponding to the specified object.

In a third aspect, an embodiment of the present application further provides an electronic device, including:

Memory, used to store computer programs;

The processor is used to implement the above-mentioned output method steps of the landing area when executing the computer program stored in the memory.

In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method steps for outputting a landing area are implemented.

For each aspect from the second to the fourth aspect and the technical effects that may be achieved by each aspect, please refer to the above description of the technical effects that can be achieved by the first aspect or various possible schemes in the first aspect, and no further details will be given here.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for outputting a landing area provided by the present application;

FIG2 is a schematic diagram of various types of landing areas provided in this application;

FIG3 is a schematic structural diagram of an output device for a landing area provided by the present application;

FIG. 4 is a schematic diagram of the structure of an electronic device provided by the present application.

DETAILED DESCRIPTION

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The specific operating methods in the method embodiments can also be applied to device embodiments or system embodiments. It should be noted that in the description of the present application, "multiple" is understood as "at least two". "And/or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and/or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A is connected to B, which can represent: A is directly connected to B and A is connected to B through C. In addition, in the description of the present application, words such as "first" and "second" are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

The embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

The embodiment of the present application provides a method for outputting a landing area, which is used to implement different types of trajectory data to comprehensively determine the landing area of a person, thereby improving the accuracy and reliability of determining the landing area. The method and device described in the embodiment of the present application are based on the same technical concept. Since the principles of the problems solved by the method and the device are similar, the embodiments of the device and the method can refer to each other, and the repeated parts will not be repeated.

Referring to FIG. 1 , the present application provides a method for outputting a landing area, which can implement different types of trajectory data to determine a person's landing area. The implementation process of the method is as follows:

S1, obtain N types of trajectory data;

In order to integrate various types of trajectory data, various types of trajectory data will be obtained first in the embodiment of the present application. The trajectory data here can be the vehicle's driving trajectory, Radio Frequency Identification (RFID) trajectory, mobile phone trajectory, etc. In the embodiment of the present application, at least two types of trajectory data in the above categories are collected. There is no specific limitation on the way to obtain trajectory data.

After obtaining various types of trajectory data, due to the instability of the source of trajectory data or the irregular collection process of trajectory transmission, the trajectory data may be incomplete or erroneous. Therefore, after obtaining various types of trajectory data, it is necessary to clean the various types of trajectory data to obtain trajectory data that meets the preset conditions. The specific method of data cleaning is to remove information that cannot constitute a trajectory in the acquired trajectory data, such as no collection device point information, collection data time disorder, and information that cannot identify the identity of the collection information.

Through the above method, the collected trajectory data can be accurately cleaned and processed, thereby ensuring the subsequent accurate division of the landing area.

S12, determining a corresponding landing area according to the trajectory points of each type of trajectory data in the N types of trajectory data;

After screening out N types of trajectory data, it is first necessary to associate the point information in the trajectory data with the positioning information, where the positioning information may be Global Positioning System (GPS) information.

Based on the above GPS information, the track points that meet the preset conditions in each type of track data are calculated, and the track points that meet the preset conditions are determined as the landing points. The specific determination of the landing points is as follows:

Method 1

Obtain the stagnation time of a trajectory point in the N types of trajectory data within a specified range, and determine whether the stagnation time is greater than a preset time threshold. If the stagnation time is greater than the preset time threshold, the trajectory point satisfies the condition of being a foothold, and the trajectory point is determined as the foothold.

For example, when the trajectory data is a vehicle driving trajectory, when the interval between two trajectory points collected during the vehicle driving process is greater than a time threshold, the latter trajectory point is determined as the landing point.

In one possible design, in order to improve the matching degree between the trajectory point and the landing point, when there are two trajectory points that meet the conditions for being the landing point, a trajectory point is determined at a position between the two trajectory points, and the determined trajectory point is used as the landing point.

For example, in a vehicle driving trajectory, when the time interval between two trajectory points collected during the vehicle driving process is greater than a time threshold, a trajectory point is determined in the middle position of the line connecting the two trajectory points and used as a foothold.

In a possible design, in order to further improve the accuracy of positioning the landing point, when there are two trajectory points that meet the conditions for being a landing point, it is determined whether the straight-line distance between the two trajectory points is less than a preset distance threshold. If it is less than the preset distance threshold, a trajectory point is determined at the position between the two trajectory points, and the determined trajectory point is used as the landing point; if the distance between the two trajectory points is greater than the preset distance threshold, the two trajectory points are ignored and the other trajectory points are re-determined.

Method 2

Obtain the occurrence frequency of each track point in the N types of track data within a specified range, determine whether the occurrence frequency is greater than a preset frequency threshold, and if so, determine the track point as a landing point; if not, ignore the track point. The occurrence frequency is the number of times a specified object appears in a certain area within a set time.

For example, when the trajectory data is RFID trajectory data, when the trajectory points in the trajectory data frequently appear around a certain collection point, it means that the specified object corresponding to the RFID trajectory data often appears in this area, then the trajectory point is used as the landing point. If the number of the trajectory points is large, a trajectory point can be determined as the landing point among the trajectory points, or a center point can be calculated among these trajectory points as the landing point.

For example, when the trajectory data is mobile phone trajectory data, when more than 70% of the collection cycles contain information on a certain MAC address, it means that the mobile phone appears frequently in the place and stays for a long time, then the trajectory point is determined as the landing point. Of course, if there is more than one trajectory point, the midpoint of multiple trajectory points is used as the landing point.

After the trajectory points are determined, spatial indexing is performed based on the trajectory points and expanded into a surface, as shown in FIG2. In FIG2, two trajectory points in the vehicle trajectory data can be expanded into two areas, two trajectory points in the RFID trajectory data can also be expanded into two areas, and two trajectory points in the mobile phone trajectory data can also be expanded into two areas. At this time, the trajectory points corresponding to each type of trajectory data can determine the corresponding type of landing area. FIG2 includes vehicle landing area a1 and vehicle landing area a2, RFID landing area b1 and RFID landing area b2, and mobile phone landing area c1 and mobile phone landing area c2.

S13, according to each type of determined landing area, determining an overlapping landing area of the intersection of each type of landing area;

As shown in FIG2 , although each type of landing area corresponds to a different one, there are overlaps and intersections between the landing areas of different categories. In FIG2 , the vehicle landing area a1 overlaps with the mobile phone landing area c1, and the overlapping area is the overlapping area X shown in FIG2 . The RFID landing area b1 also overlaps with the vehicle landing area a1 and the mobile phone landing area c1, and the overlapping area is the overlapping area Y shown in FIG2 . The RFID landing area b2 also overlaps with the vehicle landing area a2 in the landing area Z. In this case, the overlapping areas need to be screened out to obtain the overlapping landing areas.

S14, determining a weight score corresponding to each type of landing area and overlapping landing areas based on a corresponding relationship between each type of landing area and a weight value;

In the embodiment of the present application, a weight value is set for each type of landing area, that is, the reliability of each type of landing area varies according to the category. For example, the reliability of the mobile phone landing area is higher than the reliability of the RFID landing area, and the reliability of the RFID landing area is higher than the reliability of the vehicle landing area. If the weight value of the mobile phone landing area is S1, the weight value of the RFID landing area is S2, and the weight value of the vehicle landing area is S3, that is, S1 is greater than S2 and greater than S3. After each type of landing area is determined, the weight value of each type of landing area can be determined.

The weight value corresponding to the determined overlapping landing area is the sum of the weight values of various landing areas. For example, referring to Figure 2, the weight value of the overlapping landing area X is the sum of the weight value S3 corresponding to the vehicle landing area a1 and the weight value S1 corresponding to the mobile phone landing area c1. Of course, the weight values of other overlapping areas are also obtained according to the algorithm, and examples are not given here one by one.

S15, outputting a landing area list including weight values of each type of landing area and weight values of overlapping areas.

After completing the calculation of the weight values of the above-mentioned landing areas, the system arranges the weight values corresponding to each type of landing area and overlapping landing area in order from large to small, thereby generating a landing area list, which includes various types of landing areas and the weight values corresponding to each type of landing area, as shown in Table 1:

Landing area Weight value Overlap landing area Y S1+S2+S3 Overlap landing area X S1+S3 Overlap landing area Z S2+S3 Mobile phone landing area a1 S1 Mobile phone landing area a2 S1 RFID landing area b1 S2 RFID landing area b1 S2 Vehicle landing area c1 S3 Vehicle landing area c2 S3

Table 1

Based on the above description, in an embodiment of the present application, different types of landing areas can be determined based on different types of trajectory data of specified objects, and the weight value of each landing area can be determined according to the correspondence between the landing area and the weight value. Compared with using a single type of trajectory data, the method provided by the present application can improve the accuracy and reliability of determining the landing area.

In addition, in an embodiment of the present application, in order to improve the precise positioning of the landing area, overlapping landing areas of various types of landing areas are obtained and the overlapping landing areas are weighted and fused, so that the landing area can be positioned more accurately.

In one possible design, the above method can be applied to the process of determining the landing area of a certain user. If multiple users need to determine the landing area at the same time, that is, there are trajectory data of multiple users in the N types of trajectory data obtained, then after data cleaning, the trajectory data can be classified according to the user's ID information, that is, all types of trajectory data of the same user are placed in a database for processing. Of course, the processing process is the same as the above method, so it will not be repeated here. In this way, the trajectory data of different users can be processed, so as to realize the output of the landing areas of multiple users at the same time.

Based on the same inventive concept, an output device for a landing area is also provided in an embodiment of the present application. The output device for a landing area is used to determine the landing area of a specified object based on the fusion of different types of trajectory data, thereby improving the accuracy of determining the landing area. Referring to FIG. 3 , the device specifically includes:

An acquisition module 301 is used to acquire N types of trajectory data, wherein the trajectory data is a moving trajectory of a specified object, and N is a positive integer greater than or equal to 2;

The determination module 302 is used to determine the corresponding landing area according to the trajectory points of each type of trajectory in the N types of trajectory data; and determine the overlapping landing area of the intersection of each type of landing area according to the determined landing area of each type;

A processing module 303 is used to determine the weight score corresponding to each type of landing area and the overlapping landing areas based on the corresponding relationship between each type of landing area and the weight value;

The output module 304 is used to output a landing area list including the weight value of each type of landing area and the weight value of the overlapping area.

In a possible design, the determination module 302 is specifically used to determine the trajectory points that meet the preset conditions in each type of trajectory data, and determine the trajectory points as the landing points corresponding to the specified object; based on each type of landing points, determine the landing area corresponding to each type of landing points.

In a possible design, the determination module 302 is specifically used to obtain the stagnation time of a trajectory point in the N types of trajectory data within a specified range; determine whether the stagnation time is greater than a preset time threshold; if the stagnation time is greater than the preset time threshold, determine the trajectory point as a landing point corresponding to the specified object.

In one possible design, the determination module 302 is specifically used to obtain the frequency of occurrence of each trajectory point in the N types of trajectory data within a specified range; determine whether the occurrence frequency is greater than a preset frequency threshold; if so, determine the trajectory point as a landing point; if not, ignore the trajectory point.

Based on the above device, in an embodiment of the present application, different types of landing areas can be determined based on different types of trajectory data of specified objects, and the weight value of each landing area can be determined according to the correspondence between the landing area and the weight value. Compared with using a single type of trajectory data, the method provided by the present application can improve the accuracy and reliability of determining the landing area.

Based on the same inventive concept, an electronic device is also provided in an embodiment of the present application, and the electronic device can realize the function of the output device of the aforementioned landing area. Referring to FIG. 4 , the electronic device includes:

At least one processor 401, and a memory 402 connected to at least one processor 401. The specific connection medium between the processor 401 and the memory 402 is not limited in the embodiment of the present application. FIG. 4 takes the connection between the processor 401 and the memory 402 via the bus 400 as an example. The bus 400 is represented by a thick line in FIG. 4, and the connection between other components is only for schematic illustration and is not intended to be limiting. The bus 400 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in FIG. 4, but it does not mean that there is only one bus or one type of bus. Alternatively, the processor 401 can also be called a controller, and there is no restriction on the name.

In the embodiment of the present application, the memory 402 stores instructions that can be executed by at least one processor 401. The at least one processor 401 can execute the output method of the landing area discussed above by executing the instructions stored in the memory 402. The processor 401 can implement the functions of each module in the device shown in FIG.

Among them, the processor 401 is the control center of the device, and can use various interfaces and lines to connect the various parts of the entire control device. By running or executing instructions stored in the memory 402 and calling data stored in the memory 402, the various functions of the device and process data, the device can be monitored as a whole.

In one possible design, the processor 401 may include one or more processing units, and the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the modem processor may not be integrated into the processor 401. In some embodiments, the processor 401 and the memory 402 may be implemented on the same chip, and in some embodiments, they may also be implemented separately on separate chips.

Processor 401 can be a general-purpose processor, such as a central processing unit (CPU), a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, and can implement or execute the methods, steps and logic block diagrams disclosed in the embodiments of the present application. A general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the output method of the landing area disclosed in the embodiments of the present application can be directly embodied as a hardware processor execution, or a combination of hardware and software modules in the processor.

The memory 402 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules. The memory 402 may include at least one type of storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory, a random access memory (Random Access Memory, RAM), a static random access memory (Static Random Access Memory, SRAM), a programmable read-only memory (Programmable Read Only Memory, PROM), a read-only memory (Read Only Memory, ROM), an electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a magnetic memory, a disk, an optical disk, etc. The memory 402 is any other medium that can be used to carry or store a desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 402 in the embodiment of the present application can also be a circuit or any other device that can realize a storage function, for storing program instructions and/or data.

By designing and programming the processor 401, the code corresponding to the output method of the landing area described in the above embodiment can be fixed into the chip, so that the chip can execute the steps of the output method of the landing area of the embodiment shown in FIG3 when running. How to design and program the processor 401 is a technology known to those skilled in the art and will not be described in detail here.

Based on the same inventive concept, an embodiment of the present application further provides a storage medium, which stores computer instructions. When the computer instructions are executed on a computer, the computer executes the output method of the landing area discussed above.

In some possible implementations, various aspects of the method for outputting the landing area provided in the present application may also be implemented in the form of a program product, which includes a program code. When the program product is run on an apparatus, the program code is used to enable the control device to execute the steps of the method for outputting the landing area according to various exemplary embodiments of the present application described above in this specification.

Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

The present application is described with reference to the flowchart and/or block diagram of the method, device (system) and computer program product according to the embodiment of the present application. It should be understood that each process and/or box in the flowchart and/or block diagram, and the combination of the process and/or box in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims (10)

1. A method of outputting a foothold region, the method comprising:

Acquiring N types of track data, wherein the track data are moving tracks of a specified object, the N types of track data comprise at least two types of track data in a running track, a radio frequency identification track and a mobile phone track of a vehicle, and N is a positive integer greater than or equal to 2;

Determining a corresponding foothold area according to the track points of each track number in the N track data;

according to each determined falling foot area, determining an overlapped falling foot area of each intersection of the falling foot areas;

Determining weight scores corresponding to each type of foot drop areas and the overlapped foot drop areas based on the corresponding relation between each type of foot drop areas and the weight values;

And outputting a footfall region list containing the weight value of each type of footfall region and the weight value of the overlapping region.

2. The method of claim 1, wherein determining the corresponding foothold region from the trace points for each of the N types of trace data comprises:

determining track points meeting preset conditions in each type of track data, and determining the track points as foothold points corresponding to the specified objects;

and determining the foot drop area corresponding to each type of foot drop point according to each type of foot drop point.

3. The method of claim 1, wherein the acquiring N types of trajectory data comprises:

Carrying out data cleaning on the obtained track data of different types to obtain track data meeting preset conditions;

and screening out the track data related to the specified object from the track data obtained by data cleaning, and obtaining the N types of track data.

4. The method of claim 2, wherein determining the track point satisfying the preset condition in each type of track data, and determining the track point as the landing point corresponding to the specified object includes:

Acquiring dead time of track points in the N types of track data within a specified range;

determining whether the dead time is greater than a preset time threshold;

And if the dead time is greater than a preset time threshold, determining the track point as a corresponding foothold point of the appointed object.

5. The method of claim 2, wherein determining the track point satisfying the preset condition in each type of track data, and determining the track point as the landing point corresponding to the specified object includes:

Acquiring the occurrence frequency of each track point in the N types of track data in a specified range;

judging whether the occurrence frequency is larger than a preset frequency threshold value or not;

If yes, determining the track point as a foothold point;

If not, ignoring the track point.

6. An output device for a foothold region, the device comprising:

The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring N types of track data, wherein the track data is a moving track of a specified object, the N types of track data comprise at least two types of track data in a running track, a radio frequency identification track and a mobile phone track of a vehicle, and N is a positive integer greater than or equal to 2;

The determining module is used for determining a corresponding foot drop area according to the track points of each track number in the N track data; according to each determined falling foot area, determining an overlapped falling foot area of each intersection of the falling foot areas;

the processing module is used for determining weight scores corresponding to each type of foot drop areas and the overlapped foot drop areas based on the corresponding relation between each type of foot drop areas and the weight values;

the output module is used for outputting a footfall region list containing the weight value of each type of footfall region and the weight value of the overlapped region.

7. The apparatus of claim 6, wherein the determining module is specifically configured to determine, in each type of trajectory data, a trajectory point that meets a preset condition, and determine the trajectory point as a foothold point corresponding to the specified object; and determining the foot drop area corresponding to each type of foot drop point according to each type of foot drop point.

8. The apparatus of claim 7, wherein the determining module is specifically configured to obtain dead time of a track point in the N types of track data within a specified range; determining whether the dead time is greater than a preset time threshold; and if the dead time is greater than a preset time threshold, determining the track point as a corresponding foothold point of the appointed object.

9. An electronic device, comprising:

a memory for storing a computer program;

a processor for carrying out the method steps of any one of claims 1-5 when executing a computer program stored on said memory.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored therein a computer program which, when executed by a processor, implements the method steps of any of claims 1-5.