CN112651307A - Personnel trajectory tracking method, system, device and storage medium - Google Patents
Personnel trajectory tracking method, system, device and storage medium Download PDFInfo
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention discloses a method, a system, a device and a storage medium for tracking personnel trajectories, wherein the method comprises the following steps: acquiring a first path set, wherein the first path set is a set of paths among a plurality of preset face recognition modules; acquiring first position information of a person to be tracked through a face recognition module, and generating first track information according to the first position information and a first path set; acquiring second position information of the person to be tracked through a positioning module, and generating second track information according to the second position information; and determining the real action track of the person to be tracked according to the first track information and the second track information. The invention comprehensively considers the limitation of face recognition and the deviation characteristic of the positioning technology, eliminates interference by mutual compensation, improves the accuracy and reliability of tracking personnel trajectories and can draw more detailed and accurate personnel movement trajectories compared with the prior art. The invention can be widely applied to the technical field of trajectory tracking.
Description
Technical Field
The invention relates to the technical field of trajectory tracking, in particular to a method, a system, a device and a medium for tracking a person trajectory.
Background
The current personnel track drawing technology comprehensively analyzes the snapshot information of each intersection in a cell based on the face snapshot capability of a camera terminal and the accuracy of a background face recognition algorithm to obtain the movement track of personnel. However, the turning back and the face shielding which occur in the actual moving process of the person can cause the distortion of the moving track. Therefore, the traditional person trajectory tracking method needs to rely on a high-precision face recognition algorithm, and due to the variability of actions of the person to be tracked, the traditional person trajectory tracking method can only roughly measure and calculate the action trajectory of the person to be tracked, and the obtained result often cannot truly reflect the action trajectory of the person to be tracked, and particularly in security of a cell and a school, and in the aspect of tracking the trajectory of a heavy-point monitoring person, the action trajectory obtained by the traditional person trajectory tracking method is too low in precision and cannot meet the requirement.
Disclosure of Invention
The present invention aims to solve at least to some extent one of the technical problems existing in the prior art.
Therefore, an object of the embodiments of the present invention is to provide an accurate and reliable method for tracking a person trajectory.
Another object of an embodiment of the present invention is to provide a person trajectory tracking system.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps:
in a first aspect, an embodiment of the present invention provides a method for tracking a person trajectory, including the following steps:
acquiring a first path set, wherein the first path set is a set of paths among a plurality of preset face recognition modules;
acquiring first position information of a person to be tracked through a face recognition module, and generating first track information according to the first position information and the first path set;
acquiring second position information of a person to be tracked through a positioning module, and generating second track information according to the second position information;
and determining the real action track of the person to be tracked according to the first track information and the second track information.
Further, in an embodiment of the present invention, the step of obtaining the first path set specifically includes:
acquiring preset third position information of a plurality of face recognition modules;
acquiring preset road information among a plurality of face recognition modules, wherein the road information comprises road names, road lengths and fourth position information of roads;
obtaining first path information among a plurality of face recognition modules according to the third position information and the road information, and obtaining a first path set according to the first path information;
the first path information comprises a path starting position, a path end position, a route road name and a path length, the path starting position and the path end position are determined according to the third position information and the fourth position information, the route road name is determined according to the road name, and the path length is determined according to the road length.
Further, in an embodiment of the present invention, the step of acquiring, by a face recognition module, first position information of a person to be tracked, and generating first trajectory information according to the first position information and the first path set specifically includes:
acquiring first position information and first time information of a person to be tracked through a face recognition module, wherein the first time information corresponds to the first position information one by one;
generating a first time sequence according to the first time information, and determining a first position sequence according to the first time sequence and the first position information;
matching in the first path set according to adjacent position information in the first position sequence to obtain corresponding first path information as second path information;
and determining the first track information according to the first time sequence and the second path information.
Further, in an embodiment of the present invention, the step of acquiring second position information of the person to be tracked by the positioning module, and generating second trajectory information according to the second position information specifically includes:
acquiring second position information and second time information of a person to be tracked through a positioning module, wherein the second position information corresponds to the second time information one to one;
generating a second time sequence according to the second time information;
generating a corresponding second identification point on a preset electronic map according to the second position information;
and connecting the second identification points on a preset electronic map according to the second time sequence to generate second track information.
Further, in one embodiment of the present invention, the positioning module comprises at least one of: GPS orientation module, SIM basic station orientation module and WIFI orientation module.
Further, in an embodiment of the present invention, the step of determining the actual action track of the person to be tracked according to the first track information and the second track information specifically includes:
determining a first identification point at the same time in the first track information according to the second identification point;
determining a linear distance between the first identification point and the second identification point, if the linear distance is smaller than or equal to a preset first threshold value, acquiring the second identification point as a third identification point, and if the linear distance is larger than or equal to the preset first threshold value, acquiring the first identification point as a third identification point;
and determining the real action track according to the third identification point.
Further, in an embodiment of the present invention, the method for tracking a person trajectory further includes the following steps:
acquiring face image information of a person to be tracked and identification information of terminal equipment carried by the person to be tracked;
wherein the identification information comprises at least one of: GPS identification information, SIM identification information and WIFI identification information.
In a second aspect, an embodiment of the present invention provides a system for tracking a person trajectory, including:
a path set obtaining module, configured to obtain a first path set, where the first path set is a set of paths among a plurality of preset face recognition modules;
the first track information generation module is used for acquiring first position information of a person to be tracked through the face recognition module and generating first track information according to the first position information and the first path set;
the second track information generation module is used for acquiring second position information of the person to be tracked through the positioning module and generating second track information according to the second position information;
and the track analysis module is used for determining the real action track of the person to be tracked according to the first track information and the second track information.
In a third aspect, an embodiment of the present invention provides a person trajectory tracking device, including:
at least one processor;
at least one memory for storing at least one program;
the at least one program, when executed by the at least one processor, causes the at least one processor to implement one of the person trajectory tracking methods described above.
In a fourth aspect, the present invention further provides a computer-readable storage medium, in which a program executable by a processor is stored, and the program executable by the processor is used for executing the above-mentioned person trajectory tracking method when executed by the processor.
Advantages and benefits of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention:
according to the embodiment of the invention, the face recognition module and the positioning module are used for respectively acquiring the first track information and the second track information of the person to be tracked, the face recognition module is higher in cost and is often not dense, the acquired first track information is not accurate in a blind area of the face recognition module, although the positioning module can be used for positioning in real time through a terminal device carried by a person, the existing positioning technology has a little deviation, so that the second track information has an inaccurate positioning point, and after the first track information and the second track information are respectively acquired, the interference points in the first track information and the second track information can be eliminated through comprehensive analysis of the first track information and the second track information, so that an accurate and reliable real action track is obtained. The invention comprehensively considers the limitation of face recognition and the deviation characteristic of the positioning technology, eliminates interference by mutual compensation, improves the accuracy and reliability of tracking personnel trajectories and can draw more detailed and accurate personnel movement trajectories compared with the prior art.
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In order to more clearly illustrate the technical solution in the embodiment of the present invention, the following description is made on the drawings required to be used in the embodiment of the present invention, and it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments in the technical solution of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart illustrating steps of a method for tracking a person trajectory according to an embodiment of the present invention;
fig. 2 is a block diagram of a personnel trajectory tracking system according to an embodiment of the present invention;
fig. 3 is a block diagram of a person trajectory tracking device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
In the description of the present invention, the meaning of a plurality is two or more, if there is a description to the first and the second for the purpose of distinguishing technical features, it is not understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the precedence of the indicated technical features. Furthermore, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art.
Referring to fig. 1, an embodiment of the present invention provides a method for tracking a person trajectory, which specifically includes the following steps:
s101, acquiring a first path set, wherein the first path set is a set of paths among a plurality of preset face recognition modules;
specifically, in the embodiment of the present invention, a plurality of face recognition modules are arranged at key intersection positions in an activity area (such as a cell, a school, etc.) of a person to be tracked in advance, and since the face recognition modules can only recognize faces in a certain area and cannot cover all areas, a first path set needs to be formed by acquiring paths between the face recognition modules, so as to determine an action track according to position information of the face recognition modules and corresponding paths in the following process. Step S101 specifically includes the following steps:
s1011, acquiring preset third position information of a plurality of face recognition modules;
s1012, acquiring preset road information among the face recognition modules, wherein the road information comprises road names, road lengths and fourth position information of roads;
s1013, obtaining first path information among the plurality of face recognition modules according to the third position information and the road information, and obtaining a first path set according to the first path information;
the first path information comprises a path starting position, a path end position, a passing road name and a path length, the path starting position and the path end position are determined according to the third position information and the fourth position information, the passing road name is determined according to the road name, and the path length is determined according to the road length.
Specifically, the third location information is the geographic location information of the face recognition module, and the geographic location information can be acquired together when the face recognition module is set, and is associated with the ID number of the face recognition module, so that the subsequent calling is facilitated; the road name is used for marking track information formed subsequently; the road length is used for calculating the path length and can also be used for calculating the length of the whole action track subsequently; the fourth position information can be obtained by setting a plurality of road sampling points on the road, collecting the geographic position information of the road sampling points, and identifying the position information of the road through the geographic position information of the plurality of road sampling points; the first path information is a path between the two face recognition modules, and may be a shortest path, and the first path information includes information such as a start position, an end position, a road name of a passing road, and a length of the path.
According to the embodiment of the invention, the route set in the area based on the face recognition module can be obtained preliminarily by setting the face recognition module and collecting the first route set, and the first track information can be drawn according to the time sequence of the person to be tracked by the face recognition module at the position and the moment after the person to be tracked is identified by the face recognition module.
S102, acquiring first position information of a person to be tracked through a face recognition module, and generating first track information according to the first position information and a first path set;
specifically, the first position information is position information of a face recognition module that recognizes a person to be tracked, and the first trajectory information of the person to be tracked is drawn according to the first position information and the first path set obtained in step S101 in the embodiment of the present invention. Step S102 specifically includes the following steps:
s1021, acquiring first position information and first time information of a person to be tracked through a face recognition module, wherein the first time information corresponds to the first position information one by one;
s1022, generating a first time sequence according to the first time information, and determining a first position sequence according to the first time sequence and the first position information;
s1023, matching in the first path set according to adjacent position information in the first position sequence to obtain corresponding first path information as second path information;
and S1024, determining first track information according to the first time sequence and the second path information.
Specifically, the first time information is the time when the face recognition module recognizes the person to be tracked, and since the position information (i.e., the third position information) of the face recognition module is already obtained when the face recognition module is set, when a certain face recognition module recognizes the person to be tracked, the current time is the first time information, and the corresponding third position information is determined to be the first position information, and the first time information and the third position information are in one-to-one correspondence. And obtaining a first time sequence according to the sequence of the first time information, and then combining the first position information to obtain a first position sequence. And then, the second path information is arranged according to the first time sequence, and the first track information can be obtained.
Optionally, when matching in the first path set according to the adjacent position information in the first position sequence, a time span corresponding to two adjacent position information may be considered, so as to select the most accurate second path information. For example, when the time span is longer than the average walking time of the shortest path, it may be considered to select the second path information with a slightly longer path length, so as to make the obtained first track information closer to reality.
S103, acquiring second position information of the person to be tracked through the positioning module, and generating second track information according to the second position information;
specifically, different from the first position information acquired by the face recognition module, the positioning module is used for positioning through terminal equipment carried by the person to be tracked, and is not limited by regions, so that the second position information can be acquired at any time. It should be appreciated that the position information obtained by the existing positioning technology is not accurate, and therefore, the second trajectory information of the embodiment of the present invention has enough sampling points (second position information), but whether each sampling point is accurate or not cannot be sufficiently ensured. Step S103 specifically includes the following steps:
s1031, obtaining second position information and second time information of the person to be tracked through the positioning module, wherein the second position information corresponds to the second time information one to one;
s1032, generating a second time sequence according to the second time information;
s1033, generating a corresponding second identification point on a preset electronic map according to the second position information;
and S1033, connecting the second identification points on a preset electronic map according to the second time sequence to generate second track information.
As a further optional implementation, the positioning module comprises at least one of: GPS orientation module, SIM basic station orientation module and WIFI orientation module.
In the embodiment of the invention, the positioning module comprises a GPS positioning module, an SIM base station positioning module and a WIFI positioning module, which can be used for positioning through a mobile phone terminal of a person to be tracked, specifically, the current position of the person to be tracked can be respectively obtained through the three positioning modules every other minute, then the positioning results of the three positioning modules are weighted and calculated, and a final result is obtained and used as the second position information. In the embodiment of the invention, the second position information is obtained by weighting and calculating the results of the three positioning modules, so that the accuracy and the reliability of tracking the personnel track are further improved.
In the embodiment of the invention, the second position information can be directly marked on the preset electronic map to obtain a plurality of second mark points, and the frequency of the positioning module for collecting the second position information is high enough, so that the second mark points can be directly connected on the electronic map according to the time sequence to obtain the second track information.
And S104, determining the real action track of the person to be tracked according to the first track information and the second track information.
Specifically, the first track information is drawn according to first position information acquired by a face recognition module, the second track information is drawn according to second position information acquired by a positioning module, the face recognition module is high in cost and is often not dense, the acquired first track information is not accurate in a blind area of the face recognition module, the positioning module can perform real-time positioning through terminal equipment carried by a person, but the existing positioning technology has a little deviation, so that positioning points of the second track information are more or less inaccurate. Step S104 specifically includes the following steps:
s1041, determining a first identification point at the same time in the first track information according to the second identification point;
s1042, determining a linear distance between the first identification point and the second identification point, if the linear distance is smaller than or equal to a preset first threshold, obtaining the second identification point as a third identification point, and if the linear distance is larger than or equal to the preset first threshold, obtaining the first identification point as the third identification point;
and S1043, determining a real action track according to the third identification point.
Specifically, each second identification point has directly corresponding second time information, and in the embodiment of the present invention, the interval duration of adjacent times in the second time information is one minute; the first position information is obtained through the face recognition module, in a visual blind area of the face recognition module, the track of the person to be tracked is determined according to the first path information in the first path set which is obtained in advance, each path can be equally divided according to time to determine a first identification point corresponding to a second identification point at the same moment, and the first identification point and the second identification point respectively represent the positions of the person to be tracked in the first track information and the second track information at the same moment.
In the embodiment of the invention, the interference points (namely inaccurate identification points) are removed by comparing the straight-line distance between the first identification points and the second identification points. In the embodiment of the present invention, the first threshold is set to 200 meters, when the linear distance between the first identification point and the second identification point is less than or equal to 200 meters, the second identification point is used as the third identification point (that is, the second identification point is equivalent to an accurate identification point), and when the linear distance between the first identification point and the second identification point is greater than 200 meters, the first identification point is used as the third identification point. Therefore, a plurality of third identification points can be obtained, and then the real action track of the person to be tracked is directly drawn according to the time sequence (which can be determined according to the second time sequence) of the third identification points.
Optionally, if the distances between all the second identification points and the corresponding first identification points are less than or equal to 200 meters, the second trajectory information may be directly output as the real action trajectory.
Optionally, if the distances between all the second identification points and the corresponding first identification points are greater than 200 meters, the first track information may be directly output as the real action track.
As a further optional implementation, the method for tracking a person trajectory further includes the following steps:
s100, acquiring face image information of a person to be tracked and identification information of terminal equipment carried by the person to be tracked;
wherein the identification information comprises at least one of: GPS identification information, SIM identification information and WIFI identification information.
Specifically, the embodiment of the invention obtains the face image information of the person to be tracked in advance for comparison of a subsequent face recognition module; the embodiment of the invention obtains the identification information of the terminal equipment carried by the person to be tracked in advance for the subsequent positioning module to position.
The method steps of the present invention are explained above, and the following describes the process of the present invention with reference to an embodiment.
One embodiment of the present invention is as follows:
(1) the visitor wants to enter a university for academic exchange, can register through a mobile phone applet at a school gate to acquire GPS identification information, SIM identification information and WIFI identification information of a mobile phone of the visitor, and can shoot and acquire face image information of the visitor by arranging a face snapshot camera.
(2) After the visitor enters the campus, a face recognition module arranged at each key intersection acquires first position information of the visitor through face recognition and uploads the first position information to a server; and meanwhile, the mobile phone applet can automatically report the second position information of the visitor every minute.
(3) The server determines a personnel action track with the highest probability as first track information according to the first position information of the face recognition module, a pre-acquired path set and a time interval of the first position information; and the server directly draws second track information according to the second position information reported by the small program.
(4) And the server eliminates inaccurate identification points through the linear distance of the identification points in the first track information and the second track information, and finally outputs an accurate and reliable real action track.
It should be appreciated that the true movement track of the user is difficult to be accurately obtained only by the face recognition module or only by the positioning module, and the reliability and the detail degree of tracking the person track can be improved by the invention.
The embodiment of the invention can also determine the three-dimensional geographic position information of the person to be tracked through a 5G base station or WIFI positioning and the like based on the actual geographic environment, upgrade the traditional two-dimensional planar person action track tracking into three-dimensional person action track tracking, further improve the detail degree of the person action track tracking and is suitable for more scenes.
The embodiment of the invention can be used for tracing the moving track of the patient when the large-scale infectious disease is outbreaked, and the information of the whole amount of related contact personnel can be obtained through the detailed analysis of the track of all the personnel, so that the arrangement, the detection and the isolation work are convenient; the method can also be used for key protection of caring groups (old people and children) in the community; the system can also be used for strengthening prevention and control of strangers and blacklist personnel, improving the security protection capability of communities and campuses and the like.
Referring to fig. 2, an embodiment of the present invention provides a person trajectory tracking system, including:
the system comprises a path set acquisition module, a face recognition module and a face recognition module, wherein the path set acquisition module is used for acquiring a first path set, and the first path set is a set of paths among a plurality of preset face recognition modules;
the first track information generation module is used for acquiring first position information of a person to be tracked through the face recognition module and generating first track information according to the first position information and the first path set;
the second track information generation module is used for acquiring second position information of the person to be tracked through the positioning module and generating second track information according to the second position information;
and the track analysis module is used for determining the real action track of the person to be tracked according to the first track information and the second track information.
The contents in the above method embodiments are all applicable to the present system embodiment, the functions specifically implemented by the present system embodiment are the same as those in the above method embodiment, and the beneficial effects achieved by the present system embodiment are also the same as those achieved by the above method embodiment.
Referring to fig. 3, an embodiment of the present invention provides a device for tracking a person trajectory, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one program causes the at least one processor to implement the person trajectory tracking method.
The contents in the above method embodiments are all applicable to the present apparatus embodiment, the functions specifically implemented by the present apparatus embodiment are the same as those in the above method embodiments, and the advantageous effects achieved by the present apparatus embodiment are also the same as those achieved by the above method embodiments.
An embodiment of the present invention further provides a computer-readable storage medium, in which a program executable by a processor is stored, and the program executable by the processor is used for executing the above-mentioned person trajectory tracking method when executed by the processor.
The computer-readable storage medium of the embodiment of the invention can execute the person trajectory tracking method provided by the embodiment of the method of the invention, can execute any combination of the implementation steps of the embodiment of the method, and has corresponding functions and beneficial effects of the method.
The embodiment of the invention also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and executed by the processor to cause the computer device to perform the method illustrated in fig. 1.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the above-described functions and/or features may be integrated in a single physical device and/or software module, or one or more of the functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The above functions, if implemented in the form of software functional units and sold or used as a separate product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer readable medium could even be paper or another suitable medium upon which the above described program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the foregoing description of the specification, reference to the description of "one embodiment/example," "another embodiment/example," or "certain embodiments/examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A person trajectory tracking method is characterized by comprising the following steps:
acquiring a first path set, wherein the first path set is a set of paths among a plurality of preset face recognition modules;
acquiring first position information of a person to be tracked through a face recognition module, and generating first track information according to the first position information and the first path set;
acquiring second position information of a person to be tracked through a positioning module, and generating second track information according to the second position information;
and determining the real action track of the person to be tracked according to the first track information and the second track information.
2. The method for tracking person trajectory according to claim 1, wherein the step of obtaining the first set of paths includes:
acquiring preset third position information of a plurality of face recognition modules;
acquiring preset road information among a plurality of face recognition modules, wherein the road information comprises road names, road lengths and fourth position information of roads;
obtaining first path information among a plurality of face recognition modules according to the third position information and the road information, and obtaining a first path set according to the first path information;
the first path information comprises a path starting position, a path end position, a route road name and a path length, the path starting position and the path end position are determined according to the third position information and the fourth position information, the route road name is determined according to the road name, and the path length is determined according to the road length.
3. The method according to claim 2, wherein the step of obtaining first position information of the person to be tracked through a face recognition module and generating first trajectory information according to the first position information and the first path set specifically comprises:
acquiring first position information and first time information of a person to be tracked through a face recognition module, wherein the first time information corresponds to the first position information one by one;
generating a first time sequence according to the first time information, and determining a first position sequence according to the first time sequence and the first position information;
matching in the first path set according to adjacent position information in the first position sequence to obtain corresponding first path information as second path information;
and determining the first track information according to the first time sequence and the second path information.
4. The method for tracking a person trajectory according to claim 1, wherein the step of obtaining second location information of the person to be tracked by a positioning module and generating second trajectory information according to the second location information specifically comprises:
acquiring second position information and second time information of a person to be tracked through a positioning module, wherein the second position information corresponds to the second time information one to one;
generating a second time sequence according to the second time information;
generating a corresponding second identification point on a preset electronic map according to the second position information;
and connecting the second identification points on a preset electronic map according to the second time sequence to generate second track information.
5. The method of claim 4, wherein the positioning module comprises at least one of: GPS orientation module, SIM basic station orientation module and WIFI orientation module.
6. The method for tracking a person trajectory according to claim 4, wherein the step of determining the actual movement trajectory of the person to be tracked according to the first trajectory information and the second trajectory information specifically comprises:
determining a first identification point at the same time in the first track information according to the second identification point;
determining a linear distance between the first identification point and the second identification point, if the linear distance is smaller than or equal to a preset first threshold value, acquiring the second identification point as a third identification point, and if the linear distance is larger than or equal to the preset first threshold value, acquiring the first identification point as a third identification point;
and determining the real action track according to the third identification point.
7. The person trajectory tracking method according to any one of claims 1 to 6, characterized in that the person trajectory tracking method further comprises the steps of:
acquiring face image information of a person to be tracked and identification information of terminal equipment carried by the person to be tracked;
wherein the identification information comprises at least one of: GPS identification information, SIM identification information and WIFI identification information.
8. A person trajectory tracking system, comprising:
a path set obtaining module, configured to obtain a first path set, where the first path set is a set of paths among a plurality of preset face recognition modules;
the first track information generation module is used for acquiring first position information of a person to be tracked through the face recognition module and generating first track information according to the first position information and the first path set;
the second track information generation module is used for acquiring second position information of the person to be tracked through the positioning module and generating second track information according to the second position information;
and the track analysis module is used for determining the real action track of the person to be tracked according to the first track information and the second track information.
9. A person trajectory tracking device, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement a person trajectory tracking method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, in which a processor-executable program is stored, which, when being executed by a processor, is adapted to carry out a method of person trajectory tracking according to any one of claims 1 to 7.
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