Target object tracking method and system, intelligent terminal and storage medium

Abstract

The invention discloses a target object tracking method and system, an intelligent terminal and a storage medium, and relates to the technical field of data analysis, and the method comprises the steps: collecting communication signal data in a target range in real time; determining an identity label corresponding to each target object in the target range based on the communication signal data; respectively determining communication signal strength and signal strength change data corresponding to each target object based on the communication signal data and the identity label; and generating an activity path image of the target object in the target range according to the identity label, the communication signal intensity and the signal intensity change data corresponding to each target object. According to the scheme, the privacy of the target object can be protected while path tracking is carried out on the target object.

Description

Technical Field

[0001] The present application relates to the field of data analysis technology, and in particular to a target object tracking method, system, intelligent terminal and storage medium. Background Art

[0002] With the development of science and technology, the application of data analysis is becoming more and more extensive. Based on data analysis, users can obtain the information they need. For example, target objects can be tracked and located based on data analysis to meet various needs. For example, customers can be tracked and located in commercial places, and their behavior can be analyzed to provide business guidance for commercial places.

[0003] In the related art, when tracking a target, it is usually dependent on a camera, and image acquisition is performed based on the camera to identify and track the target. The problem with the related art is that image acquisition based on a camera is not conducive to protecting the privacy of the target object.

[0004] Therefore, relevant technologies still need to be improved and developed. Summary of the invention

[0005] The main purpose of this application is to provide a target object tracking method, system, intelligent terminal and storage medium, aiming to solve the technical problem in the related technology that a central device is directly selected to be networked with other surrounding devices and a preset fixed communication method is adopted without considering the actual scenario, which is not conducive to improving the flexibility of target object tracking and the data communication effect after networking.

[0006] In order to achieve the above object, the first aspect of the present application provides a target object tracking method, wherein the target object tracking method comprises: Collect communication signal data within the target range in real time; Based on the communication signal data, determine the identity corresponding to each target object within the target range; Based on the communication signal data and the identity identifier, respectively determine the communication signal strength and signal strength change data corresponding to each of the target objects; According to the identity identification, communication signal strength and signal strength change data corresponding to each of the above target objects, an activity path image of the target objects within the above target range is generated.

[0007] In an optional scenario, the communication signal data includes WiFi signal data emitted by the mobile smart terminal held by the target object.

[0008] In an optional scenario, determining the identity corresponding to each target object within the target range based on the communication signal data includes: Extracting the local area network address corresponding to the mobile smart terminal held by each of the target objects according to the communication signal data; The identity corresponding to each of the above target objects is determined according to the above local area network address.

[0009] In an optional scenario, the real-time collection of communication signal data within the target range includes: Determine the data collection period; During the above data collection period, communication signal data within the above target range is collected in real time.

[0010] In an optional scenario, generating the activity path image of the target object within the target range according to the identity identification, communication signal strength and signal strength change data corresponding to each of the target objects includes: Determine the location data corresponding to each of the target objects at multiple times during the data collection period according to the identity identifiers, communication signal strengths, and signal strength change data corresponding to the target objects; Based on the above position data, a moving path image of the target object within the above target range is generated.

[0011] In an optional scenario, the method further includes: The stay time and stay frequency of each of the target objects at the target location are determined based on the identity identification, communication signal strength and signal strength change data corresponding to the target objects.

[0012] In an optional scenario, the target range is a sales area, and the target location includes a plurality of shelves in the sales area; The above method further includes: Determine an object to be analyzed from the target objects based on the interactive operation; The purchase preference data corresponding to the object to be analyzed is determined according to the activity path image, the stay time and the stay frequency of the object to be analyzed at the target location.

[0013] A second aspect of the present application provides a target object tracking system, wherein the target object tracking system comprises: A data acquisition module is used to collect communication signal data within the target range in real time; An identity determination module, used to determine the identity corresponding to each target object within the target range based on the communication signal data; A data processing module, used to determine the communication signal strength and signal strength change data corresponding to each of the target objects based on the communication signal data and the identity identifier; The path tracking module is used to generate an activity path image of the target object within the above target range according to the identity identification, communication signal strength and signal strength change data corresponding to each of the above target objects.

[0014] A third aspect of the present application provides a smart terminal, which includes a memory, a processor, and a target object tracking program stored in the memory and executable on the processor. When the target object tracking program is executed by the processor, any step of the target object tracking method is implemented.

[0015] A fourth aspect of the present application provides a computer-readable storage medium, on which a target object tracking program is stored. When the target object tracking program is executed by a processor, any step of the target object tracking method is implemented.

[0016] As can be seen from the above, in the present application scheme, communication signal data within the target range is collected in real time; based on the above communication signal data, the identity identification corresponding to each target object within the above target range is determined; based on the above communication signal data and the above identity identification, the communication signal strength and signal strength change data corresponding to each of the above target objects are respectively determined; based on the identity identification, communication signal strength and signal strength change data corresponding to each of the above target objects, an activity path image of the target objects within the above target range is generated.

[0017] Compared with the prior art, the present application does not need to collect images of the target object through a camera, but directly analyzes the communication signal data to determine the identity of the target object, and further determines the communication signal strength and signal strength change data corresponding to the target object, thereby generating an image of the target object's activity path within the target range to track the target object. In this way, the image of the target object will not be captured, which is conducive to protecting the privacy of the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 It is a flowchart of a target object tracking method provided by an embodiment of the present application; Figure 2 It is a schematic diagram of component modules of a target object tracking system provided in an embodiment of the present application; Figure 3It is a block diagram of the internal structure principle of a smart terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0021] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0022] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural forms unless the context clearly indicates otherwise.

[0023] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0024] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to being classified into," depending on the context. Similarly, the phrase "if it is determined" or "if classified into [described condition or event]" may be interpreted as meaning "upon determination" or "in response to determining" or "upon classification into [described condition or event]" or "in response to being classified into [described condition or event]," depending on the context.

[0025] The following is a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings of the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0027] At present, the application of data analysis is becoming more and more extensive. Based on data analysis, the information required by users can be obtained. For example, the target object can be tracked and located based on data analysis to achieve various needs. For example, customers can be tracked and located in commercial places, and their behavior can be analyzed to provide business guidance for commercial places. In other public places, the behavior of visitors in public places can also be monitored and analyzed to better manage public places.

[0028] Traditional visitor tracking systems usually rely on cameras, infrared sensors or RFID technology, which may have privacy issues or operational limitations. In order to solve at least one of the above-mentioned technical problems, in the present application, the communication signal data within the target range is collected in real time; based on the above-mentioned communication signal data, the identity corresponding to each target object within the above-mentioned target range is determined; based on the above-mentioned communication signal data and the above-mentioned identity, the communication signal strength and signal strength change data corresponding to each of the above-mentioned target objects are respectively determined; according to the identity corresponding to each of the above-mentioned target objects, the communication signal strength and signal strength change data, the activity path image of the target object within the above-mentioned target range is generated.

[0029] Compared with the prior art, the present application does not need to collect images of the target object through a camera, but directly analyzes the communication signal data to determine the identity of the target object, and further determines the communication signal strength and signal strength change data corresponding to the target object, thereby generating an image of the target object's activity path within the target range to track the target object. In this way, the image of the target object will not be captured, which is conducive to protecting the privacy of the target object.

[0030] like Figure 1 As shown, the embodiment of the present application provides a target object tracking method. Specifically, the method includes the following steps: Step S100, collecting communication signal data within a target range in real time.

[0031] The target range is a pre-set range for tracking the target object, for example, it may be a commercial place or a public place. The actual range of the target range may be set and adjusted according to actual needs and is not specifically limited here.

[0032] In an embodiment of the present application, the above-mentioned communication signal data includes WiFi signal data emitted by the mobile smart terminal held by the above-mentioned target object. Specifically, one or more devices for collecting WiFi signals can be pre-set within the target range to realize real-time collection of WiFi signal data within the target range. Visitor tracking and positioning can be achieved based on WiFi signals, and the monitoring and analysis of visitor behavior in commercial places or other public places can be achieved by collecting and analyzing mobile phone WiFi signals. Using information such as the unique identifier and signal strength of the mobile phone WiFi signal, accurate visitor positioning and behavior analysis can be achieved, providing valuable data support for business operations and marketing.

[0033] In one application scenario, the real-time collection of communication signal data within a target range includes: Determine the data collection period; During the above data collection period, communication signal data within the above target range is collected in real time.

[0034] The above data collection period can be set and adjusted according to actual needs. For example, the business hours of a shopping mall can be used as the data collection period, which is not specifically limited here.

[0035] Step S200: determining the identity corresponding to each target object within the target range based on the communication signal data.

[0036] In the embodiment of the present application, the above-mentioned communication signal data is sent by a mobile smart terminal (such as a mobile phone, smart watch, etc.) held by the target object (ie, the visitor).

[0037] Specifically, the determining of the identity corresponding to each target object within the target range based on the communication signal data includes: Extracting the local area network address corresponding to the mobile smart terminal held by each of the target objects according to the communication signal data; The identity corresponding to each of the above target objects is determined according to the above local area network address.

[0038] Specifically, the collected communication signal data can be processed and analyzed to extract the unique identifier of the visitor's mobile phone (such as the local area network address, i.e., the MAC address) as the identity of the target object. In this way, the identity of the target object can be uniquely marked, thereby better tracking and locating the target object.

[0039] Step S300: Based on the communication signal data and the identity identifier, the communication signal strength and signal strength change data corresponding to each of the target objects are determined respectively.

[0040] Specifically, for all collected communication signal data, it is possible to divide them based on the above-mentioned identity identifiers to obtain the communication signal data corresponding to each target object, and then analyze and process the communication signal data corresponding to each target object to determine the communication signal strength and signal strength change data corresponding to each target object. Among them, the above-mentioned communication signal strength is the signal strength at the current moment, which is used to locate the position of the target object at the current moment, and the signal strength change data is based on the change of the communication signal strength at at least two moments (such as the previous moment and the current moment), which is used to track the path of the target object.

[0041] It should be noted that in an embodiment of the present application, multiple (for example, at least 3) devices for collecting communication signal data can be set at different positions within the target range to obtain multiple different signal strengths and combine them to locate the target object.

[0042] Step S400: generating an activity path image of the target objects within the target range according to the identity identification, communication signal strength and signal strength change data corresponding to each of the target objects.

[0043] Specifically, the above-mentioned generating the activity path image of the target object within the above-mentioned target range according to the identity identification, communication signal strength and signal strength change data corresponding to each of the above-mentioned target objects includes: Determine the location data corresponding to each of the target objects at multiple times during the data collection period according to the identity identifiers, communication signal strengths, and signal strength change data corresponding to the target objects; Based on the above position data, a moving path image of the target object within the above target range is generated.

[0044] Among them, the above-mentioned activity path image is used to characterize the activity path of each target object within the target range. For example, points can be used to represent the historical locations of the target objects, and lines between points can be used to represent the paths of the target objects. Different target objects have points and lines of different colors for easy distinction.

[0045] Furthermore, the above method also includes: The stay time and stay frequency of each of the target objects at the target location are determined based on the identity identification, communication signal strength and signal strength change data corresponding to the target objects.

[0046] The target location may be a location pre-selected or adjusted in real time within the target range, which is not specifically limited here. Further, the stay time and stay frequency corresponding to each target location may be displayed in the activity path image to facilitate user viewing and statistical analysis.

[0047] In the embodiment of the present application, the target range is a sales area, and the target location includes a plurality of shelves in the sales area; The above method further includes: Determine an object to be analyzed from the target objects based on the interactive operation; The purchase preference data corresponding to the object to be analyzed is determined according to the activity path image, the stay time and the stay frequency of the object to be analyzed at the target location.

[0048] Among them, the above-mentioned interactive operations can be triggered based on the instructions input by the user. In this way, the user can select some target objects of interest as the objects to be analyzed, and then perform statistical analysis on the analysis formation to determine the purchase preference data corresponding to the objects to be analyzed, such as which shelf the objects to be analyzed are more interested in.

[0049] As can be seen from the above, in the present application scheme, communication signal data within the target range is collected in real time; based on the above communication signal data, the identity identification corresponding to each target object within the above target range is determined; based on the above communication signal data and the above identity identification, the communication signal strength and signal strength change data corresponding to each of the above target objects are respectively determined; based on the identity identification, communication signal strength and signal strength change data corresponding to each of the above target objects, an activity path image of the target objects within the above target range is generated.

[0050] Compared with the prior art, the present application does not need to collect images of the target object through a camera, but directly analyzes the communication signal data to determine the identity of the target object, and further determines the communication signal strength and signal strength change data corresponding to the target object, thereby generating an image of the target object's activity path within the target range to track the target object. In this way, the image of the target object will not be captured, which is conducive to protecting the privacy of the target object.

[0051] like Figure 2 As shown in , corresponding to the above-mentioned target object tracking method, the embodiment of the present application further provides a target object tracking system, and the above-mentioned target object tracking system includes: The data acquisition module 210 is used to collect communication signal data within the target range in real time; An identity determination module 220 is used to determine the identity corresponding to each target object within the target range based on the communication signal data; The data processing module 230 is used to determine the communication signal strength and signal strength change data corresponding to each of the target objects based on the communication signal data and the identity identifier; The path tracking module 240 is used to generate an activity path image of the target object within the target range according to the identity identification, communication signal strength and signal strength change data corresponding to each of the target objects.

[0052] In this way, the identity of the target object is determined directly based on the analysis of the communication signal data, and the communication signal strength and signal strength change data corresponding to the target object are further determined, thereby generating an image of the target object's activity path within the target range, and tracking the target object is achieved. In this way, the image of the target object will not be taken, which is conducive to protecting the privacy of the target object.

[0053] It should be noted that the specific structure and implementation of the above-mentioned target object tracking system and its various modules or units can refer to the corresponding description in the above-mentioned method embodiment, and will not be repeated here.

[0054] It should be noted that the division method of each module of the above-mentioned target object tracking system is not unique and is not specifically limited here.

[0055] For example, in one application scenario, the target object tracking system may include: WiFi signal acquisition module: used to scan and capture WiFi signals emitted by mobile phones in commercial places or public places. Signal data processing module: processes and analyzes the collected WiFi signal data, extracts the unique identifier of the mobile phone (such as MAC address), signal strength and its changes. Location identification algorithm: based on the strength and identifier of the mobile phone WiFi signal, accurately identifies and locates the visitor's location. Visitor behavior analysis module: uses positioning data to analyze the visitor's behavior characteristics such as residence time, activity path, frequency, etc., and generates statistical reports or real-time monitoring screens.

[0056] At the same time, during the data processing and storage process, measures such as anonymization and data encryption are taken to protect the privacy of visitors. The target object tracking system based on mobile phone WiFi signals does not require the installation of additional equipment, and can achieve non-invasive monitoring and data analysis of visitor behavior, which is conducive to reducing the required costs. Through the unique identifier and signal strength of the WiFi signal, the visitor's location can be accurately identified and located, which is conducive to improving accuracy. Compared with sensors such as cameras, it is more privacy-friendly and will not directly reveal the identity information of visitors.

[0057] Moreover, the application scheme of this application has a wide range of applications. For example, in retail store management, this application scheme can be used to monitor the activity trajectory and residence time of visitors in the store, so as to optimize the layout and promotion strategy; in convention and exhibition centers or public activity venues, it can help managers understand the flow distribution and activity participation of visitors, and improve the activity effect and safety management level.

[0058] Based on the above embodiments, the present application also provides a smart terminal, whose principle block diagram can be as follows: Figure 3 As shown. The above-mentioned intelligent terminal includes a processor, a memory, a network interface and a display screen connected through a system bus. Among them, the processor of the intelligent terminal is used to provide computing and control capabilities. The memory of the intelligent terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a target object tracking program. The internal memory provides an environment for the operation of the operating system and the target object tracking program in the non-volatile storage medium. The network interface of the intelligent terminal is used to communicate with an external terminal through a network connection. When the target object tracking program is executed by the processor, the steps of any one of the above-mentioned target object tracking methods are implemented. The display screen of the intelligent terminal can be a liquid crystal display screen or an electronic ink display screen.

[0059] Those skilled in the art will understand that Figure 3 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the smart terminal to which the solution of the present application is applied. The specific smart terminal may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0060] In one embodiment, a smart terminal is provided, which includes a memory, a processor, and a target object tracking program stored in the memory and executable on the processor. When the target object tracking program is executed by the processor, the steps of any one of the target object tracking methods provided in the embodiments of the present application are implemented.

[0061] An embodiment of the present application further provides a computer-readable storage medium, on which a target object tracking program is stored. When the target object tracking program is executed by a processor, the steps of any one of the target object tracking methods provided in the embodiment of the present application are implemented.

[0062] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0063] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0064] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by 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.

[0065] In the embodiments provided in the present application, it should be understood that the disclosed system / terminal device and method can be implemented in other ways. For example, the system / terminal device embodiments described above are only schematic, for example, the division of the above modules or units is only a logical function division, and in actual implementation, other division methods can be used, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0066] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0067] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0068] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes additional implementations, in which the order shown or discussed may not be followed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can read instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or N wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary and then storing it in a computer memory.

[0070] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0071] A person of ordinary skill in the art may understand that all or part of the steps of the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, implements one or a combination of multiple steps of the method embodiment.

[0072] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0073] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A target object tracking method, characterized in that: The method comprises: Collect communication signal data within the target range in real time; Determine, based on the communication signal data, the identity identifier corresponding to each target object within the target range; Based on the communication signal data and the identity identifier, respectively determine the communication signal strength and signal strength change data corresponding to each of the target objects; According to the identity identification, communication signal strength and signal strength change data corresponding to each of the target objects, an activity path image of the target objects within the target range is generated.

2. The target object tracking method according to claim 1, characterized in that: The communication signal data includes WiFi signal data emitted by the mobile smart terminal held by the target object.

3. The target object tracking method according to claim 2, characterized in that: The determining, based on the communication signal data, the identity identifier corresponding to each target object within the target range includes: Extracting the local area network address corresponding to the mobile smart terminal held by each target object according to the communication signal data; The identity corresponding to each of the target objects is determined according to the local area network address.

4. The target object tracking method according to claim 1, characterized in that: The real-time acquisition of communication signal data within the target range includes: Determine the data collection period; During the data collection period, communication signal data within the target range is collected in real time.

5. The target object tracking method according to claim 4, characterized in that: The step of generating an activity path image of the target objects within the target range according to the identity identifiers, communication signal strengths and signal strength change data corresponding to the target objects comprises: Determine the location data corresponding to each of the target objects at multiple times during the data collection period according to the identity identifier, communication signal strength and signal strength change data corresponding to the target objects; A moving path image of the target object within the target range is generated according to the position data.

6. The target object tracking method according to any one of claims 1 to 5, characterized in that: The method further comprises: The stay time and stay frequency of each target object at the target location are determined according to the identity identification, communication signal strength and signal strength change data corresponding to the target object.

7. The target object tracking method according to claim 6, characterized in that: The target range is a sales area, and the target location includes a plurality of shelves in the sales area; The method further comprises: Determining an object to be analyzed from the target object based on the interactive operation; The purchase preference data corresponding to the object to be analyzed is determined according to the activity path image, the stay time and the stay frequency of the object to be analyzed at the target location.

8. A target object tracking system, characterized in that: The system comprises: A data acquisition module is used to collect communication signal data within the target range in real time; An identity determination module, used to determine the identity corresponding to each target object within the target range based on the communication signal data; A data processing module, used to determine the communication signal strength and signal strength change data corresponding to each of the target objects based on the communication signal data and the identity identifier; The path tracking module is used to generate an activity path image of the target object within the target range according to the identity identification, communication signal strength and signal strength change data corresponding to each target object.

9. An intelligent terminal, characterized in that: The intelligent terminal includes a memory, a processor, and a target object tracking program stored in the memory and executable on the processor. When the target object tracking program is executed by the processor, the steps of the target object tracking method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a target object tracking program, and when the target object tracking program is executed by the processor, the steps of the target object tracking method according to any one of claims 1 to 7 are implemented.

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