WO2016180324A1

WO2016180324A1 - Method, system, and processing server for determining track information of target person

Info

Publication number: WO2016180324A1
Application number: PCT/CN2016/081596
Authority: WO
Inventors: 刁一平; 虞丽峰
Original assignee: 杭州海康威视数字技术股份有限公司
Priority date: 2015-05-12
Filing date: 2016-05-10
Publication date: 2016-11-17

Abstract

Disclosed are a method, system, and processing server for determining track information of a target person. The method comprises: acquiring multiple designated video recordings; determining multiple first image capturing devices that captured the designated video recordings; with respect to the first image capturing devices, on the basis of a preset intersection scheme: acquiring sets of unique identification information detected by Wi-Fi detectors of the first image capturing devices during a detection time interval; intersection processing the acquired sets of unique identification information to acquire a unique identification information set; determining the unique identification information of a Wi-Fi terminal in the unique identification set as the unique identification information of a target person; acquiring all of the image capturing devices at where the Wi-Fi detectors that detected the unique identification information of the target person are located; and determining track information of the target person on the basis of the locations of all of the image capturing devices at where the Wi-Fi detectors are located. In embodiments of the present application, the need for analyzing a large volume of video recordings is obviated.

Description

Method, system and processing server for determining track information of target person

This application claims priority to Chinese Patent Application No. 201510308669.1, entitled "Method, System and Processing Server for Determining Trajectory Information of Target Persons", submitted to the Chinese Patent Office on June 5, 2015, and in 2015 The priority of the Chinese Patent Application entitled "Method, Apparatus, and System for Determining the Track of the Target Object" is filed on May 12, 2009, the entire disclosure of which is hereby incorporated by reference.

Technical field

The present application relates to the field of communications technologies, and in particular, to a method, a system, and a processing server for determining trajectory information of a target person.

Background technique

In video-based character tracking, what is really interesting is the trajectory tracking of the target person, that is, the trajectory information of the target person. In order to obtain the trajectory information of the target person, it is necessary to obtain all video recordings including the target person. Based on the position of the image capturing device that collects the video recordings, the trajectory information of the target person can be determined, and the trajectory tracking of the target person can be realized.

However, the above method requires analysis of a large number of video recordings, and analyzes whether a large number of video recordings contain target characters, and the analysis process is time consuming and laborious, and the process is very complicated.

Summary of the invention

The embodiment of the present application discloses a method, a system, and a processing server for determining the trajectory information of a target person, so as to avoid analyzing a large amount of video recording.

To achieve the above objective, the embodiment of the present application discloses the following technical solutions:

The embodiment of the present application discloses a method for determining trajectory information of a target person, which is applied to a processing server, where the processing server is connected to multiple image collection devices including a wireless fidelity WiFi detector;

The method includes:

Obtaining multiple specified video recordings containing the target person;

Determining a plurality of first image capture devices that capture the specified video recording;

According to a preset intersection manner, for at least two first image collection devices of the plurality of first image acquisition devices: respectively obtaining an appearance time of the target person in the specified video recording, respectively determining to include the occurrence time a detection time interval, and respectively obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval; Performing intersection processing on the obtained set of unique identification information of the WiFi terminal to obtain an intersection of the unique identification information;

Determining the unique identification information of the WiFi terminal in the centralized identification information as the unique identification information of the target person;

Obtaining an image acquisition device in which all WiFi detectors that detect the unique identification information of the target person are located;

Determining the trajectory information of the target person according to the location of the image collection device where all the WiFi detectors are located.

The embodiment of the present application discloses a processing server, where the processing server is connected to multiple image collection devices including a WiFi detector, and the processing server specifically includes:

An interface module, configured to obtain a plurality of specified video recordings including a target person;

a data processor, configured to determine a plurality of first image capturing devices that capture the specified video recording;

According to a preset intersection manner, for at least two first image collection devices of the plurality of first image acquisition devices: respectively obtaining an appearance time of the target person in the specified video recording, respectively determining to include the occurrence time a detection time interval, and respectively obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval; and performing intersection processing of the obtained unique identification information of the WiFi terminal, Obtain a unique identification information intersection;

Determining the unique identification information of the WiFi terminal in the intersection of the unique identification information as the unique identification information of the target person; obtaining an image collection device in which all the WiFi detectors that detect the unique identification information of the target person are located; The location of the image acquisition device where all the WiFi detectors are located, and the track information of the target person is determined.

The embodiment of the present application discloses a method for determining trajectory information of a target person, which is applied to a system including a processing server and a plurality of image collection devices connected to the processing server, and the image collection device includes wireless fidelity WiFi detection. The method includes:

The image capture device captures a video recording and outputs the video recording;

The WiFi detector detects the unique identification information of the WiFi terminal in its own detection area, and outputs a correspondence between the detected unique identification information and the detection time of the unique identification information;

The processing server obtains a plurality of specified video recordings including the target person based on the video recording; determining a plurality of first image capturing devices that capture the specified video recording; according to a preset intersection And a set mode, for at least two first image capturing devices of the plurality of first image capturing devices: respectively obtaining an occurrence time of the target person in the specified video recording, and determining a detection time interval including the occurrence time respectively Obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval according to the correspondence between the unique identification information and the detection time of the unique identification information, respectively Obtaining the intersection of the unique identification information of the obtained WiFi terminal to obtain the intersection of the unique identification information; determining the unique identification information of the WiFi terminal in which the unique identification information is centralized as the unique identification information of the target person; The image capturing device of all the WiFi detectors of the target person's unique identification information; determining the trajectory information of the target person according to the location of the image capturing device where all the WiFi detectors are located.

The embodiment of the present application discloses a system for determining trajectory information of a target person, where the system specifically includes a processing server and a plurality of image capturing devices connected to the processing server, and the image capturing device includes a wireless fidelity WiFi detector. ;among them,

An image capture device for capturing a video recording and outputting the video recording;

a WiFi detector, configured to detect unique identification information of the WiFi terminal in the detection area of the detection unit, and output a correspondence between the detected unique identification information and the detection time of the unique identification information;

a processing server, configured to obtain, according to the video recording, a plurality of specified video recordings including a target person; determine a plurality of first image capturing devices that capture the specified video recording; and according to a preset intersection manner, for multiple At least two first image capturing devices in the first image capturing device: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the occurrence time, and respectively according to the unique identifier Corresponding relationship between the information and the detection time of the unique identification information, obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval, and the obtained WiFi terminal is unique The set of the identification information is subjected to the intersection processing to obtain the intersection of the unique identification information; the unique identification information of the WiFi terminal in which the unique identification information is centralized is determined as the unique identification information of the target person; and the unique identification information of the target person is obtained. Image acquisition device in which all WiFi detectors are located; An image acquisition device position where the WiFi detector, determining the trajectory information of the target person.

The embodiment of the present application discloses an application program for executing a method for determining the trajectory information of the target person at runtime.

The embodiment of the present application discloses a storage medium, where the storage medium is used to store an application. The application is configured to perform a method of determining trajectory information of the target person.

Based on the foregoing technical solutions, compared with the prior art, the embodiment of the present application has at least the following advantages: in the embodiment of the present application, multiple video recordings including the target person may be specified (ie, all video recordings including the target person) Part of the video recording, which can be specified by the user) to determine the unique identification information of the target person, and obtain the image acquisition device of all WiFi (WirelessFIdelit) detectors that detect the unique identification information of the target person. And determining the trajectory information of the target person according to the location of the image acquisition device where all the WiFi detectors are located. In the above manner, only a small amount of the video recording containing the target person can obtain the trajectory information of the target person, and does not need a large amount of video. The video is analyzed to reduce the process of analyzing a large number of video recordings.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application and the technical solutions of the prior art, the following description of the embodiments and the drawings used in the prior art will be briefly introduced. Obviously, the drawings in the following description are only Some embodiments of the application may also be used to obtain other figures from those of ordinary skill in the art without departing from the scope of the invention.

1 is a schematic structural diagram of a system for determining trajectory information of a target person according to Embodiment 1 of the present application;

2 is a schematic structural diagram of a system for determining a trajectory information of a target person according to Embodiment 1 of the present application;

3 is a schematic flowchart of a method for determining trajectory information of a target person according to Embodiment 2 of the present application;

4 is a schematic flowchart of a method for determining trajectory information of a target person according to Embodiment 3 of the present application;

FIG. 5 is a schematic structural diagram of a processing server according to Embodiment 4 of the present application.

detailed description

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings. It is apparent that the described embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

Embodiment 1

A first embodiment of the present application provides a system for determining trajectory information of a target person. As shown in FIG. 1, the system may specifically include a processing server and a plurality of image capturing devices connected to the processing server. The processing server and the plurality of image collection devices are connected by wire or wirelessly. The image capturing device includes a WiFi detector and an image capturing module (such as an intelligent camera with an image capturing function), and the image capturing device captures a video recording through an image capturing module, and the WiFi detector can be built in the image capturing. The WiFi detector in the device may also be a WiFi detector deployed separately from the image collection device. For the convenience of description, the WiFi detector is built in the image collection device as an example. Based on the WiFi detector, after receiving the WiFi signal (which may be a broadcast message) from the WiFi terminal, the image collection device may parse the unique identification information of the WiFi terminal from the WiFi signal, and the unique identification information of the WiFi terminal may specifically Including but not limited to: MAC (Media Access Control) address of the WiFi terminal. Further, based on the WiFi detector, after receiving the WiFi signal from the WiFi terminal, the image capturing device may not respond to the WiFi terminal, and does not provide the WiFi service for the WiFi terminal, as long as the WiFi terminal carried in the WiFi signal can be parsed The unique identification information can be.

An image acquisition device for capturing video recordings and outputting video recordings.

The WiFi detector is configured to detect unique identification information of the WiFi terminal in the detection area of the detection area, and output a correspondence between the detected unique identification information and the detection time of the unique identification information.

a processing server, configured to obtain a plurality of specified video recordings including the target person based on the video recording output by the image capturing device; determine a plurality of first image capturing devices that capture the specified video recording; according to the preset intersection manner, At least two first image capturing devices in the first image capturing device: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining the detection time interval including the occurrence time, and respectively outputting according to the WiFi detector Corresponding relationship between the unique identification information and the detection time of the unique identification information, obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval, and the obtained WiFi terminal is unique The set of the identification information is subjected to the intersection processing to obtain the intersection of the unique identification information; the unique identification information of the WiFi terminal in which the unique identification information is centralized is determined as the unique identification information of the target person; and all the WiFi detections in which the unique identification information of the target person is detected are obtained. Image acquisition device where the device is located; An image capture device where the WiFi detector position, to determine the trajectory information of the target person.

The image capturing device is specifically configured to directly output the video recording to the processing server when outputting the video recording. Processing the server, specifically for outputting to the processing server based on the image collection device The video recording directly obtains a plurality of specified video recordings including the target person from the processing server. Alternatively, as shown in the schematic structural diagram of the system shown in FIG. 2, a video memory may also be included in the system. Based on this, the image capturing device is specifically configured to output the video recording to the video memory when outputting the video recording. A video memory for receiving video recordings from an image capture device and storing the video recordings in a local storage medium. The processing server is specifically configured to obtain a plurality of specified video recordings including the target person from the video memory based on the video recording output from the image capturing device to the video memory.

The WiFi detector is specifically configured to output a correspondence between the unique identification information and the detection time of the unique identification information to the processing server when the correspondence between the unique identification information and the detection time of the unique identification information is output. Further, the processing server is specifically configured to obtain the unique identification information and the unique identifier directly from the processing server based on the correspondence between the unique identification information output by the WiFi detector to the processing server and the detection time of the unique identification information. A correspondence between the detection moments of the information, and based on the correspondence, obtains a set of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval. Alternatively, as shown in the schematic diagram of the system shown in FIG. 2, the system may further include an identifier memory. Based on this, the WiFi detector is specifically configured to output a correspondence between the unique identification information and the detection time of the unique identification information to the identifier when the correspondence between the unique identification information and the detection time of the unique identification information is outputted. Memory. The identifier storage is configured to receive a correspondence between the unique identification information from the WiFi detector and the detection time of the unique identification information, and store a correspondence between the unique identification information and the detection time of the unique identification information. The processing server is specifically configured to: between the unique identification information outputted by the WiFi detector to the identifier memory and the detection time of the unique identifier information, between the unique identifier information obtained from the identifier memory and the detection time of the unique identifier information Corresponding relationship, and based on the correspondence, obtain a set of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval.

In the embodiment of the present application, the video storage and the identifier storage may be deployed on the same device or on different devices.

In the embodiment of the present application, the WiFi terminal may be a mobile terminal provided with a WiFi module, and the WiFi module may be a WiFi module on the user side, such as a universal WiFi module used by a mobile terminal, a notebook, a tablet, or the like. Based on the WiFi module, the WiFi terminal periodically sends a WiFi signal (ie, a broadcast message, including but not limited to a Beacon frame), and the WiFi signal carries the unique identification information of the WiFi terminal, in the target person. When carrying a WiFi terminal to move, such as If the target person is in the capture area of an image capture device, the video capture captured by the image capture device will include the target person; if the WiFi terminal carried by the target person is located in the WiFi detection area of the WiFi detector of the image capture device The WiFi detector can detect the unique identification information of the WiFi terminal, and record the correspondence between the unique identification information of the WiFi terminal and the detection time of the unique identification information. The WiFi terminal carried by the target person periodically sends a WiFi signal, and the WiFi detector can periodically detect the WiFi signal from the WiFi terminal, and parse the unique identification information of the WiFi terminal from the WiFi signal. Based on this, when the WiFi terminal is located in the WiFi detection area of the WiFi detector, the WiFi detector can detect the unique identification information of the WiFi terminal, and record the currently identified unique identification information of the WiFi terminal and the unique identification information. The correspondence between the detection times.

For example, at the detection time 1 of the WiFi detector 1 of the image capture device 1, if the WiFi terminal 1 is located in the WiFi detection area of the WiFi detector 1, the WiFi detector 1 can detect the unique identification information of the WiFi terminal 1, and The correspondence between the unique identification information of the WiFi terminal 1 and the detection time 1 is recorded.

It should be noted that, at the same detection time of the WiFi detector, there may be multiple WiFi terminals located in the WiFi detection area of the WiFi detector, and the WiFi detector may detect unique identification information of multiple WiFi terminals and record Correspondence between the unique identification information of the plurality of WiFi terminals and the detection time. For example, at the detection time 1 of the WiFi detector 1, if the WiFi terminal 1, the WiFi terminal 2, and the WiFi terminal 3 are both located in the WiFi detection area of the WiFi detector 1, the WiFi detector 1 can detect the unique identifier of the WiFi terminal 1. The information, the unique identification information of the WiFi terminal 2, and the unique identification information of the WiFi terminal 3, record the unique identification information of the WiFi terminal 1, the unique identification information of the WiFi terminal 2, and the correspondence between the unique identification information of the WiFi terminal 3 and the detection time 1. relationship.

In the embodiment of the present application, the user can know which video recordings include the target person, and assign the information of the video recording including the target person to the processing server, and the processing server can obtain the information based on the information of the video recording of the target person specified by the user. Multiple specified video recordings of the target person. Among them, the user only needs to select a part of the video recording from all the video recordings containing the target person, and specify to the processing server a plurality of video recordings including the target person. For example, when the user assigns the information of the video recording 1, video recording 2, video recording 3, and video recording 4 including the target person to the processing server, the processing server obtains the video recording including the target person as video recording 1, video recording 2, and video. Video 3 and video recording 4. Further, in the image acquisition device When the video recording is output, the corresponding relationship between the identifier of the image capturing device and the video recording may be output, so that the processing server can learn the first image capturing devices corresponding to the video recordings of the target person. For example, the processing server learns the video recording. Corresponding to the first image capturing device 1, the video recording 2 corresponding to the first image capturing device 2, the video recording 3 corresponding to the first image capturing device 3, and the video recording 4 corresponding to the first image capturing device 4.

In the embodiment of the present application, the processing server is configured to: at least two first image capturing devices of the plurality of first image capturing devices according to the preset intersection manner: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining The detection time interval of the occurrence time is included, and according to the correspondence between the unique identification information output by the WiFi detector and the detection time of the unique identification information, the WiFi detector of the first image acquisition device is detected in the detection time interval. The set of the unique identification information of the WiFi terminal, the process of the intersection of the obtained unique identification information of the WiFi terminal, and the process of obtaining the unique identification information intersection, which may include, but is not limited to, the following two situations:

Case 1: The processing server is specifically configured to: when the preset intersection mode is an intersection of all the sets, for the plurality of first image capturing devices (including the plurality of first image capturing devices corresponding to the plurality of specified video recordings of the target person) All the first image acquisition devices in the system: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining the detection time interval including the appearance time, and respectively obtaining the WiFi detector of the first image acquisition device at the detection time a set of unique identification information of the WiFi terminal detected by the interval; performing intersection processing on the set of unique identification information of the WiFi terminal respectively obtained by all the first image collection devices in the plurality of first image collection devices, to obtain the intersection of the unique identification information .

Case 2, the processing server is specifically configured to: when the preset intersection mode is a loop intersection intersection, A, from the plurality of first image collection devices (including a plurality of first image collections corresponding to the plurality of specified video recordings of the target person) Selecting two first image acquisition devices in the device: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining the detection time interval including the occurrence time, and respectively obtaining the WiFi detector of the first image acquisition device Detecting a set of unique identification information of the WiFi terminal detected in the time interval; B, performing intersection processing on the set of unique identification information of the WiFi terminal respectively obtained by the two first image collection devices of the plurality of first image collection devices, and obtaining The first unique identification information intersection; C, determining whether the number of unique identification information of the WiFi terminal in the first unique identification information intersection is equal to 1; if yes, determining the intersection of the first unique identification information as the final unique identification information intersection End the process; if not, execute D; D, from multiple first images Selecting an unselected first image capturing device in the collecting device: obtaining a moment of occurrence of the target person in the specified video recording, determining a detecting time interval including the appearance time, and obtaining a WiFi detector of the first image capturing device a set of unique identification information of the WiFi terminal detected in the detection time interval; E, intersecting the set of unique identification information of the WiFi terminal obtained by the first image collection device with the first unique identification information, and judging the intersection Whether the number of unique identification information of the WiFi terminal in the processed intersection is equal to 1; if yes, the intersection after the intersection processing is determined as the final unique identification information intersection; if not, the intersection after the intersection processing is taken as the first A unique identification information intersection, performing D.

In the embodiment of the present application, since the video recording includes the target person, the processing server can directly determine the appearance time of the target person in the video recording. After determining the occurrence time of the target person in the video recording, the processing server may also determine the detection time interval including the appearance time. The detection time interval may specifically be: a sum of the occurrence time to the occurrence time and the first value, or the difference between the appearance time and the second value to the appearance time, or the difference between the appearance time and the third value to the occurrence time and The sum of the fourth values. In practical applications, the first value, the second value, the third value, and the fourth value can all be arbitrarily selected according to actual experience. For example, when the error between the detection time and the occurrence time allowed in the actual application is not more than 1 second, the detection time interval may be the difference between the appearance time and the 1 second to the sum of the appearance time and 1 second. For example, when the time of appearance is 17:30:00 on May 28, 2015, the corresponding detection time interval is 17:29:59 on May 28, 2015 and 17:30:01 on May 28, 2015.

In the embodiment of the present application, based on the correspondence between the unique identification information output by the WiFi detector of the first image collection device and the detection time of the unique identification information, the processing server may obtain the WiFi detector of the first image acquisition device to detect A set of unique identification information of the WiFi terminal detected in the time interval. For example, based on the correspondence between the unique identification information output by the WiFi detector 1 in the first image capturing device 1 and the detection time of the unique identification information, and the detection time interval, the processing server can learn each of the outputs of the WiFi detector 1 Whether the detection time of the unique identification information is located in the detection time interval; if it is located in the detection time interval, the unique identification information includes the unique identification information; if not located in the detection time interval, the unique identification information is not included in the collection This unique identification information.

For the first case, when the plurality of first image capturing devices are the first image capturing device 1, the first image capturing device 2, the first image capturing device 3, and the first image capturing device 4, respectively obtaining the first image capturing device The uniqueness of the WiFi terminal detected by the WiFi detector in the detection time interval a set 1 of identification information, a set 2 of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device 2 in the detection time interval, and a WiFi detector of the first image acquisition device 3 detected in the detection time interval a set 3 of unique identification information of the WiFi terminal, a set 4 of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device 4 in the detection time interval, and the set 1, the set 2, the set 3, and the set 4 Intersection processing is performed to obtain an intersection of unique identification information.

For the second case, when the plurality of first image capturing devices are the first image capturing device 1, the first image capturing device 2, the first image capturing device 3, and the first image capturing device 4, respectively, obtaining the first image capturing device a set 1 of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval, a set 2 of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device 2 in the detection time interval, and The set 1 and the set 2 are subjected to intersection processing to obtain an intersection of the first unique identification information. If the number of unique identification information of the WiFi terminal in the first unique identification information intersection is 1, the intersection of the first unique identification information is determined as the final unique identification information intersection. If the number of the unique identification information of the WiFi terminal in the intersection of the first unique identification information is not 1, the set 3 of the unique identification information of the WiFi terminal detected by the WiFi detector of the first image collection device 3 in the detection time interval is obtained, And intersecting the set 3 and the first unique identification information for intersection processing. If the number of unique identification information of the WiFi terminal in the intersection after the intersection processing is 1, the intersection after the intersection processing is determined as the final unique identification information intersection. . If the number of unique identification information of the WiFi terminal in the intersection after the intersection processing is not 1, the intersection after the intersection processing is intersected as the first unique identification information, and so on.

In the embodiment of the present application, based on the correspondence between the unique identification information output by all the WiFi detectors and the detection time of the unique identification information, the processing server may obtain an image of all the WiFi detectors that detect the unique identification information of the target person. The device is collected, and the track information of the target person is determined according to the location of the image acquisition device where all the WiFi detectors are located. For example, when the correspondence between the unique identification information output by the WiFi detector 1-WiFi detector 15 and the detection time of the unique identification information includes the unique identification information 1 of the target person, the processing server can obtain the unique identification information detected. All WiFi detectors of 1 are WiFi detector 1-WiFi detector 15, and the track information of the target person is determined according to the location of the image acquisition device where the WiFi detector 1-WiFi detector 15 is located.

In a specific application, based on the correspondence between the unique identification information output by the WiFi detector and the detection time of the unique identification information, the trajectory information of the target person determined by the processing server is The initial trajectory information may be subsequently corrected by the initial trajectory information to obtain final trajectory information. When the initial trajectory information is corrected, the initial WiFi detector of the trajectory and the termination WiFi detector may be determined, and the first detection moment of the initial identification information of the target person detected by the initial WiFi detector is determined, and the detection of the WiFi detector is terminated. The second detection time to the unique identification information of the target person. For other WiFi detectors in the initial track information, if other WiFi detectors detect that the detection time of the unique identification information of the target person is between the first detection time and the second detection time, the other track is retained in the final track information. The location of the image capturing device where the WiFi detector is located; if the other WiFi detector detects that the detection time of the unique identification information of the target person is not between the first detection time and the second detection time, the deletion is deleted in the final track information. The location of the image acquisition device where other WiFi detectors are located. After the above processing is performed for each of the other WiFi detectors, the final trajectory information can be obtained. The initial WiFi detector and the terminating WiFi detector of the trajectory can be determined by the user.

Based on the foregoing technical solution, compared with the prior art, the embodiment of the present application has at least the following advantages: in the embodiment of the present application, by associating the information outputted by the video monitoring with the information output by the WiFi detector, the specified inclusion target may be Multiple video recordings of a character (ie, all video recordings in a video recording containing a target person, which may be specified by a user) determine unique identification information of the target person, and obtain unique identification information of the target person. The image acquisition device of all the WiFi detectors, and according to the location of the image acquisition device where all the WiFi detectors are located, determine the trajectory information of the target person. In this way, only a small number of video recordings including the target person can be obtained to obtain the target person. The trajectory information does not require analysis of a large number of video recordings, reducing the process of analyzing a large number of video recordings.

Embodiment 2

Based on the same inventive concept as the above system, the second embodiment of the present application proposes a method for determining the trajectory information of a target person, which is applied to a system including a processing server and a plurality of image capturing devices connected to the processing server. The processing server and the plurality of image collection devices are connected by wire or wirelessly. The image capturing device includes a WiFi detector and an image capturing module (such as an intelligent traffic camera with an image capturing function), and the image capturing device captures a video recording through an image capturing module, and the WiFi detector can be built in the image. The WiFi detector in the collection device can also be a WiFi detector deployed separately from the image acquisition device. For convenience of description, the WiFi detector is built in the image acquisition device as an example. Based on the WiFi detector, after receiving the WiFi signal (which may be a broadcast message) from the WiFi terminal, the image collection device may The unique identification information of the WiFi terminal is parsed in the WiFi signal, and the unique identification information of the WiFi terminal may specifically include, but is not limited to, the MAC address of the WiFi terminal. Further, based on the WiFi detector, after receiving the WiFi signal from the WiFi terminal, the image capturing device may not respond to the WiFi terminal, and does not provide the WiFi service for the WiFi terminal, as long as the WiFi terminal carried in the WiFi signal can be parsed The unique identification information can be. In the above application scenario, as shown in FIG. 3, the method for determining the trajectory information of the target person specifically includes the following steps:

In step 301, the image capturing device captures the video recording and outputs the video recording.

Step 302: The WiFi detector detects the unique identification information of the WiFi terminal in the detection area of the detection, and outputs a correspondence between the detected unique identification information and the detection time of the unique identification information. There is no sequential relationship between step 301 and step 302.

Step 303: The processing server obtains a plurality of specified video recordings including the target person based on the video recording; and determines a plurality of first image capturing devices that capture the specified video recording.

Step 304: The processing server is configured to: at least two first image capturing devices of the plurality of first image capturing devices according to the preset intersection manner: respectively obtaining the appearance moments of the target person in the specified video recording, respectively determining to include the appearance Determining the time interval of the time, and obtaining the unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval according to the correspondence between the unique identification information and the detection time of the unique identification information The set performs intersection processing on the obtained set of unique identification information of the WiFi terminal to obtain an intersection of the unique identification information.

Step 305: The processing server determines the unique identification information of the WiFi terminal in which the unique identification information is centralized, as the unique identification information of the target person.

Step 306: The processing server obtains an image capturing device where all the WiFi detectors that detect the unique identification information of the target person are located, and determines the trajectory information of the target person according to the location of the image capturing device where all the WiFi detectors are located.

In the embodiment of the present application, when the video capture device outputs video recording, the video recording device directly outputs the video recording to the processing server. The processing server directly obtains a plurality of specified video recordings including the target person from the processing server based on the video recording output from the image capturing device to the processing server. Alternatively, the system may further include a video memory, and the image capturing device outputs the video recording to the video memory when outputting the video recording. The video memory receives the video recording from the image capture device and stores the video recording in a local storage medium. The processing server obtains a plurality of fingers including the target person from the video memory based on the video recording output from the image capturing device to the video memory. Fixed video recording.

In the embodiment of the present application, when the correspondence between the unique identification information and the detection time of the unique identification information is output, the WiFi detector directly outputs the correspondence between the unique identification information and the detection time of the unique identification information to the processing. server. The processing server obtains, according to the correspondence between the unique identification information output by the WiFi detector to the processing server and the detection time of the unique identification information, between the detection information of the unique identification information and the unique identification information directly obtained from the processing server. Corresponding relationship, and based on the correspondence, obtain a set of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval. Alternatively, the system may further include an identifier memory, and when the WiFi detector outputs a correspondence between the unique identifier information and the detection time of the unique identifier information, the correspondence between the unique identifier information and the detection time of the unique identifier information The relationship is output to the identification memory. The identifier memory receives a correspondence between the unique identification information from the WiFi detector and the detection time of the unique identification information, and stores a correspondence between the unique identification information and the detection time of the unique identification information. The processing server obtains a correspondence between the unique identification information and the detection time of the unique identification information from the identification memory based on the correspondence between the unique identification information outputted by the WiFi detector to the identification memory and the detection time of the unique identification information, And obtaining, according to the correspondence, a set of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval.

In the embodiment of the present application, the user can know which video recordings include the target person, and assign the information of the video recording including the target person to the processing server, and the processing server can obtain the information based on the information of the video recording of the target person specified by the user. Multiple specified video recordings of the target person. Among them, the user only needs to select a part of the video recording from all the video recordings containing the target person, and specify to the processing server a plurality of video recordings including the target person. For example, when the user assigns the information of the video recording 1, video recording 2, video recording 3, and video recording 4 including the target person to the processing server, the processing server obtains the video recording including the target person as video recording 1, video recording 2, and video. Video 3 and video recording 4. Further, when the video capture device outputs the video recording, the corresponding relationship between the identifier of the image capturing device and the video recording may be output, so that the processing server can learn the first image capturing devices corresponding to the video recordings of the target person, for example, The processing server learns that the video recording 1 corresponds to the first image capturing device 1, the video recording 2 corresponds to the first image capturing device 2, the video recording 3 corresponds to the first image capturing device 3, and the video recording 4 corresponds to the first image acquisition device 4.

In the embodiment of the present application, for the processing server, according to the preset intersection manner, for at least two first image capturing devices of the plurality of first image capturing devices: respectively obtaining the appearance moments of the target person in the specified video recording, respectively Determining a detection time interval including the occurrence time, and obtaining a detection interval of the WiFi detector of the first image acquisition device according to the correspondence between the unique identification information output by the WiFi detector and the detection time of the unique identification information And the set of the unique identification information of the obtained WiFi terminal, the process of the intersection of the obtained unique identification information of the WiFi terminal, and the process of obtaining the unique identification information, which may include, but is not limited to, the following two situations:

Case 1: When the preset intersection mode is the intersection of all the sets, the processing server is all for all the first image capturing devices (including the plurality of first image capturing devices corresponding to the plurality of specified video recordings of the target person) The first image capturing device: respectively obtains the occurrence moments of the target person in the specified video recording, respectively determines the detection time interval including the occurrence time, and respectively obtains the detection of the WiFi detector of the first image acquisition device in the detection time interval. a set of unique identification information of the WiFi terminal; the set of unique identification information of the WiFi terminal respectively obtained for all the first image collection devices of the plurality of first image collection devices is subjected to intersection processing to obtain an intersection of the unique identification information.

Case 2: When the preset intersection mode is a loop intersection, the processing server performs the following steps:

Step A: The processing server selects two first image capturing devices from a plurality of first image capturing devices (including a plurality of first image capturing devices corresponding to the plurality of specified video recordings of the target person): respectively obtaining the target person in the specified The occurrence time in the video recording respectively determines the detection time interval including the occurrence time, and obtains the set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval, respectively.

Step B: The processing server performs intersection processing on the set of unique identification information of the WiFi terminal respectively obtained by the two first image collection devices of the plurality of first image collection devices, to obtain the intersection of the first unique identification information.

Step C: The processing server determines whether the number of unique identification information of the WiFi terminal in the intersection of the first unique identification information is equal to 1; if yes, the intersection of the first unique identification information is determined as the final unique identification information intersection, and the process ends. If not, perform step D.

Step D: The processing server selects an unselected first image capturing device from the plurality of first image capturing devices: obtaining an appearance moment of the target person in the specified video recording, and determining to include And detecting a time interval of the moment of occurrence, and obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval.

Step E: The processing server performs intersection processing on the intersection of the set of unique identification information of the WiFi terminal obtained by the first image collection device and the first unique identification information, and determines the unique identification information of the WiFi terminal in the intersection after the intersection processing. Whether the number is equal to 1; if yes, the intersection after the intersection processing is determined as the final unique identification information intersection; if not, the intersection after the intersection processing is intersected as the first unique identification information, and step D is performed.

In the embodiment of the present application, since the video recording includes the target person, the processing server can directly determine the appearance time of the target person in the video recording. After the processing server determines the appearance time of the target person in the video recording, the processing server may also determine the detection time interval including the appearance time. The detection time interval may be: a sum of the occurrence time to the occurrence time and the first value, or the difference between the appearance time and the second value to the appearance time, or the difference between the appearance time and the third value to the appearance time and the The sum of the four values. In practical applications, the first value, the second value, the third value, and the fourth value can all be arbitrarily selected according to actual experience. For example, when the error between the detection time and the occurrence time allowed in the actual application is not more than 1 second, the detection time interval may be the difference between the appearance time and the 1 second to the sum of the appearance time and 1 second. For example, when the time of appearance is 17:30:00 on May 28, 2015, the corresponding detection time interval is 17:29:59 on May 28, 2015 and 17:30:01 on May 28, 2015.

In the embodiment of the present application, based on the correspondence between the unique identification information output by the WiFi detector of the first image collection device and the detection time of the unique identification information, the processing server may obtain the WiFi detector of the first image acquisition device to detect A set of unique identification information of the WiFi terminal detected in the time interval. For example, based on the correspondence between the unique identification information output by the WiFi detector 1 in the first image capturing device 1 and the detection time of the unique identification information, and the detection time interval, the processing server learns each unique output of the WiFi detector 1 Whether the detection time of the identification information is located in the detection time interval; if it is located in the detection time interval, the unique identification information includes the unique identification information; if not located in the detection time interval, the collection of unique identification information does not include the Unique identification information.

For the first case, when the plurality of first image capturing devices are the first image capturing device 1, the first image capturing device 2, the first image capturing device 3, and the first image capturing device 4, respectively obtaining the first image capturing device The WiFi detector of 1 detects the set of unique identification information of the WiFi terminal detected in the detection time interval, and the WiFi detector of the first image acquisition device 2 detects the detection time interval a set 2 of unique identification information of the WiFi terminal to which the WiFi detector of the first image acquisition device 3 detects the set of unique identification information of the WiFi terminal detected in the detection time interval, and the WiFi detector of the first image acquisition device 4 is The set 4 of the unique identification information of the WiFi terminal detected in the time interval is detected, and the set 1, the set 2, the set 3, and the set 4 are subjected to intersection processing to obtain an intersection of the unique identification information.

In a specific application, based on the correspondence between the unique identification information output by the WiFi detector and the detection time of the unique identification information, the trajectory information of the target person determined by the processing server is the initial trajectory information, and the initial Track information is corrected to get the final track letter interest. When the initial trajectory information is corrected, the initial WiFi detector of the trajectory and the termination WiFi detector may be determined, and the first detection moment of the initial identification information of the target person detected by the initial WiFi detector is determined, and the detection of the WiFi detector is terminated. The second detection time to the unique identification information of the target person. For other WiFi detectors in the initial track information, if other WiFi detectors detect that the detection time of the unique identification information of the target person is between the first detection time and the second detection time, the other track is retained in the final track information. The location of the image capturing device where the WiFi detector is located; if the other WiFi detector detects that the detection time of the unique identification information of the target person is not between the first detection time and the second detection time, the deletion is deleted in the final track information. The location of the image acquisition device where other WiFi detectors are located. After the above processing is performed for each of the other WiFi detectors, the final trajectory information can be obtained. The initial WiFi detector and the terminating WiFi detector of the trajectory can be determined by the user.

Embodiment 3

Based on the same inventive concept as the above system, a method for determining the trajectory information of the target person is proposed in the third embodiment of the present application, which is applied to the processing server, and the processing server is connected to the plurality of image capturing devices. The processing server and the plurality of image collection devices are connected by wire or wirelessly. The image capturing device includes a WiFi detector and an image capturing module (such as an intelligent traffic camera with an image capturing function), and the image capturing device captures a video recording through an image capturing module, and the WiFi detector can be built in the image. The WiFi detector in the collection device can also be a WiFi detector deployed separately from the image acquisition device. For convenience of description, the WiFi detector is built in the image acquisition device as an example. Based on the WiFi detector, after receiving the WiFi signal (which may be a broadcast message) from the WiFi terminal, the image collection device may parse the unique identification information of the WiFi terminal from the WiFi signal, and the unique identification information of the WiFi terminal may specifically Package This includes but is not limited to: the MAC address of the WiFi terminal. Further, based on the WiFi detector, after receiving the WiFi signal from the WiFi terminal, the image capturing device may not respond to the WiFi terminal, and does not provide the WiFi service for the WiFi terminal, as long as the WiFi terminal carried in the WiFi signal can be parsed The unique identification information can be. In the above application scenario, as shown in FIG. 4, the method for determining the trajectory information of the target person may specifically include the following steps:

In step 401, the processing server obtains a plurality of specified video recordings including the target person.

The user can know which video recording contains the target person, and assigns the information of the video recording containing the target person to the processing server, and the processing server can obtain multiple designations including the target person based on the information specified by the user including the video recording of the target person. Video recording. Among them, the user only needs to select a part of the video recording from all the video recordings containing the target person, and specify to the processing server a plurality of video recordings including the target person. For example, when the user assigns the information of the video recording 1, video recording 2, video recording 3, and video recording 4 including the target person to the processing server, the processing server obtains the video recording including the target person as video recording 1, video recording 2, and video. Video 3 and video recording 4.

Step 402: The processing server determines to capture a plurality of first image capturing devices of the specified video recording.

When the video capture device outputs the video recording, the corresponding relationship between the identifier of the image capturing device and the video recording may be output, so that the processing server can learn the first image capturing devices corresponding to the video recordings of the target person. For example, for video recording 1, video recording 2, video recording 3, and video recording 4, it is known that the video recording 1 corresponds to the first image capturing device 1, the video recording 2 corresponds to the first image capturing device 2, and the video recording 3 corresponds to the first image capturing. The device 3 and the video recording 4 correspond to the first image capturing device 4.

Step 403: The processing server is configured to: at least two first image capturing devices of the plurality of first image capturing devices according to the preset intersection manner: respectively obtaining the occurrence moments of the target person in the specified video recording, and respectively determining to include the Obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval; respectively, obtaining the set of the unique identification information of the obtained WiFi terminal, and obtaining the intersection of the obtained identification information of the WiFi terminal Unique identification information intersection.

In this embodiment, the step 403 may include, but is not limited to, the following two situations:

Case 1: When the preset intersection mode is the intersection of all the sets, the processing server is all for all the first image capturing devices (including the plurality of first image capturing devices corresponding to the plurality of specified video recordings of the target person) First image acquisition device: respectively obtain the target character in the specified video The occurrence time in the video, respectively determining the detection time interval including the occurrence time, and respectively obtaining the set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval; A set of unique identification information of the WiFi terminal obtained by all the first image collection devices in an image acquisition device is subjected to intersection processing to obtain an intersection of unique identification information.

Step D: The processing server selects an unselected first image capturing device from the plurality of first image capturing devices: obtaining an appearance time of the target person in the specified video recording, determining a detection time interval including the occurrence time, and Obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval.

In the embodiment of the present application, since the video recording includes the target person, the processing server can directly determine the appearance time of the target person in the video recording. After the processing server determines the appearance time of the target person in the video recording, the processing server may also determine the detection time interval including the appearance time. The detection time interval may be: a sum of the occurrence time to the occurrence time and the first value, or a difference between the appearance time and the second value to the appearance time, or the difference between the appearance time and the third value is The sum of the current moment and the fourth value. In practical applications, the first value, the second value, the third value, and the fourth value can all be arbitrarily selected according to actual experience. For example, when the error between the detection time and the occurrence time allowed in the actual application is not more than 1 second, the detection time interval may be the difference between the appearance time and the 1 second to the sum of the appearance time and 1 second. For example, when the time of appearance is 17:30:00 on May 28, 2015, the corresponding detection time interval is 17:29:59 on May 28, 2015 and 17:30:01 on May 28, 2015.

For the first case, when the plurality of first image capturing devices are the first image capturing device 1, the first image capturing device 2, the first image capturing device 3, and the first image capturing device 4, respectively obtaining the first image capturing device a set 1 of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval, and a set 2 of the unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device 2 in the detection time interval, a set 3 of unique identification information of the WiFi terminal detected by the WiFi detector of the image acquisition device 3 in the detection time interval, and the unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device 4 in the detection time interval Set 4, and set the collection 1, the collection 2, the collection 3, and the collection 4 to obtain an intersection of the unique identification information.

For the second case, when the plurality of first image capturing devices are the first image capturing device 1, the first image capturing device 2, the first image capturing device 3, and the first image capturing device 4, respectively, obtaining the first image capturing device a set 1 of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval, a set 2 of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device 2 in the detection time interval, and The set 1 and the set 2 are subjected to intersection processing to obtain an intersection of the first unique identification information. If the number of unique identification information of the WiFi terminal in the first unique identification information intersection is 1, the intersection of the first unique identification information is determined as the final unique identifier. Information intersection. If the number of the unique identification information of the WiFi terminal in the intersection of the first unique identification information is not 1, the set 3 of the unique identification information of the WiFi terminal detected by the WiFi detector of the first image collection device 3 in the detection time interval is obtained, And intersecting the set 3 and the first unique identification information for intersection processing. If the number of unique identification information of the WiFi terminal in the intersection after the intersection processing is 1, the intersection after the intersection processing is determined as the final unique identification information intersection. . If the number of unique identification information of the WiFi terminal in the intersection after the intersection processing is not 1, the intersection after the intersection processing is intersected as the first unique identification information, and so on.

Step 404: The processing server determines the unique identification information of the WiFi terminal in which the unique identification information is centralized, as the unique identification information of the target person.

Step 405: The processing server obtains an image collection device in which all WiFi detectors that detect the unique identification information of the target person are located, and determines the trajectory information of the target person according to the location of the image collection device where all the WiFi detectors are located.

In a specific application, based on the correspondence between the unique identification information output by the WiFi detector and the detection time of the unique identification information, the trajectory information of the target person determined by the processing server is the initial trajectory information, and the initial The trajectory information is corrected to obtain the final trajectory information. When the initial trajectory information is corrected, the initial WiFi detector of the trajectory and the termination WiFi detector may be determined, and the first detection moment of the initial identification information of the target person detected by the initial WiFi detector is determined, and the detection of the WiFi detector is terminated. The second detection time to the unique identification information of the target person. For other WiFi detectors in the initial track information, if other WiFi detectors detect that the detection time of the unique identification information of the target person is between the first detection time and the second detection time, the other track is retained in the final track information. The location of the image acquisition device where the WiFi detector is located; if other WiFi detectors detect the detection time of the unique identification information of the target person, Located between the first detection time and the second detection time, the position of the image acquisition device where the other WiFi detectors are located is deleted in the final track information. After the above processing is performed for each of the other WiFi detectors, the final trajectory information can be obtained. The initial WiFi detector and the terminating WiFi detector of the trajectory can be determined by the user.

Embodiment 4

Based on the same inventive concept as the above system, a processing server is provided in Embodiment 4 of the present application, and the processing server is connected to multiple image collection devices including a wireless fidelity WiFi detector, wherein the processing server and multiple image collections are The device is connected by wire or wirelessly. As shown in FIG. 5, the processing server specifically includes:

The interface module 11 is configured to obtain a plurality of specified video recordings including the target person, and obtain a correspondence between the unique identification information output by the WiFi detector and the detection time of the unique identification information.

The interface module may specifically be a data transceiver having a receiving capability and a transmitting capability. The interface module can interact with a device capable of providing a video recording containing a target person by wire or wirelessly. When the image capturing device outputs the video recording to the processing server, the interface module interacts with the image capturing device by wire or wirelessly; when the image capturing device outputs the video recording to the video memory, the interface module passes the wired or wireless mode and the video. The memory interacts. In addition, the interface module can interact with the device capable of providing a correspondence between the unique identification information and the detection moment of the unique identification information by wire or wirelessly. If the WiFi detector outputs the correspondence between the unique identification information and the detection time of the unique identification information to the processing server, the interface module interacts with the WiFi detector by wire or wirelessly; the WiFi detector uniquely identifies the information. When the correspondence relationship with the detection time of the unique identification information is like outputting the identifier memory, the interface module is wired or wirelessly Identify the memory to interact.

The data processor 12 is configured to determine a plurality of first image capturing devices that capture the specified video recordings; and according to a preset intersection manner, for at least two first image capturing devices of the plurality of first image capturing devices: Obtaining the occurrence moments of the target person in the specified video recording respectively, respectively determining a detection time interval including the appearance time, and respectively obtaining the WiFi detector of the first image acquisition device detected in the detection time interval. a set of unique identification information of the WiFi terminal; performing an intersection process on the obtained set of unique identification information of the WiFi terminal to obtain an intersection of the unique identification information;

The data processor may specifically be a CPU (Central Processing Unit) or the like having data processing capability.

The data processor 12 is configured to: when the preset intersection mode is an intersection of all the sets, for all the first image capturing devices in the plurality of first image capturing devices: respectively obtaining the target person in the office Determining the occurrence time in the specified video recording, respectively determining the detection time interval including the occurrence time, and respectively obtaining the set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval And performing intersection processing on the set of unique identification information of the WiFi terminal respectively obtained by all the first image collection devices in the plurality of first image collection devices, to obtain the intersection of the unique identification information.

The data processor 12 is specifically configured to: when the preset intersection mode is a loop take-over intersection,

A. selecting two first image capturing devices from the plurality of first image capturing devices: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the occurrence time, and Obtaining, respectively, a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

B. Perform intersection processing on the set of unique identification information of the WiFi terminal respectively obtained by the two first image collection devices of the plurality of first image collection devices, to obtain an intersection of the first unique identification information;

C. determining whether the number of the unique identifier information of the WiFi terminal in the intersection of the first unique identifier information is equal to 1; if yes, determining the intersection of the first unique identifier information as the final unique identifier information intersection, and ending the process; If no, execute D;

D. Selecting an unselected first image capturing device from the plurality of first image capturing devices: obtaining an occurrence time of the target person in the specified video recording, and determining a detection time interval including the occurrence time, And obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

E. Intersection processing of the set of unique identification information of the WiFi terminal obtained by the first image collection device and the first unique identification information, and determining the number of unique identification information of the WiFi terminal in the intersection after the intersection processing Whether it is equal to 1; if yes, the intersection after the intersection processing is determined as the final unique identification information intersection; if not, the intersection after the intersection processing is intersected as the first unique identification information, and D is executed.

In the embodiment of the present application, the unique identifier information of the WiFi terminal specifically includes: a media access control MAC address of the WiFi terminal.

The modules of the device of the present application may be integrated into one or may be deployed separately. The above modules can be combined into one module, or can be further split into multiple sub-modules.

An embodiment of the present application provides an application for performing a method for determining trajectory information of a target person provided by an embodiment of the present application at runtime.

In a specific implementation manner of the present application, a method for determining trajectory information of the target person is applied to a processing server, where the processing server is connected to multiple image collection devices including a wireless fidelity WiFi detector;

The method includes:

Obtaining multiple specified video recordings containing the target person;

In a specific implementation manner of the present application, the method for determining the trajectory information of the target person is applied to a system including a processing server and a plurality of image capturing devices connected to the processing server, and the image capturing device includes wireless Fidelity WiFi detector; the method includes:

The processing server obtains a plurality of specified video recordings including the target person based on the video recording; determining a plurality of first image capturing devices that capture the specified video recording; and according to the preset intersection manner, for the plurality of first images At least two first image collection devices in the collection device: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the appearance time, and respectively according to the unique identification information Corresponding relationship between the detection moments of the unique identification information, obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval, and obtaining the unique identification information of the WiFi terminal The set performs intersection processing to obtain a unique identification information intersection; the unique identification information of the WiFi terminal in which the unique identification information is centralized is determined as the unique identification information of the target person; and all the WiFis that detect the unique identification information of the target person are obtained. The image acquisition device where the detector is located; according to all the WiFi A position detector image capture device is located, determining the trajectory information of the target person.

The embodiment of the present application provides a storage medium for storing an application for performing a method for determining trajectory information of a target person provided by an embodiment of the present application.

The method includes:

Obtaining multiple specified video recordings containing the target person;

According to a preset intersection manner, for at least two first image collection devices of the plurality of first image acquisition devices: respectively obtaining an appearance time of the target person in the specified video recording, respectively determining to include the occurrence time Detection time interval, and respectively obtain the first image acquisition device a set of unique identification information of the WiFi terminal detected by the WiFi detector in the detection time interval; the intersection of the obtained unique identification information of the WiFi terminal is subjected to intersection processing to obtain an intersection of the unique identification information;

For the processing server, system, application, storage medium embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

It should be noted that in this paper, relational terms such as first and second are used only to An entity or operation is distinguished from another entity or operation, and does not necessarily require or imply any such actual relationship or order. Furthermore, the term "comprises" or "comprises" or "comprises" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a plurality of elements includes not only those elements but also Other elements, or elements that are inherent to such a process, method, item, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

The various embodiments in the present specification are described in a related manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The above is only the preferred embodiment of the present application, and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc., which are made within the spirit and principles of the present application, should be included in the present application. Within the scope of protection.

Claims

A method for determining trajectory information of a target person is characterized in that it is applied to a processing server, and the processing server is connected to a plurality of image capturing devices including a wireless fidelity WiFi detector;

The method includes:

Obtaining multiple specified video recordings containing the target person;

Determining a plurality of first image capture devices that capture the specified video recording;

According to a preset intersection manner, for at least two first image collection devices of the plurality of first image acquisition devices: respectively obtaining an appearance time of the target person in the specified video recording, respectively determining to include the occurrence time a detection time interval, and respectively obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval; and performing intersection processing of the obtained unique identification information of the WiFi terminal, Obtain a unique identification information intersection;

Determining the unique identification information of the WiFi terminal in the centralized identification information as the unique identification information of the target person;

Obtaining an image acquisition device in which all WiFi detectors that detect the unique identification information of the target person are located;

Determining the trajectory information of the target person according to the location of the image collection device where all the WiFi detectors are located.
The method according to claim 1, wherein when the preset intersection mode is an intersection of all the sets, the at least two of the plurality of first image capturing devices are according to a preset intersection manner. a first image capturing device: respectively obtaining an occurrence time of the target person in the specified video recording, respectively determining a detection time interval including the appearance time, and respectively obtaining a WiFi detector of the first image capturing device in the Detecting a set of the unique identification information of the WiFi terminal detected in the time interval; performing the process of the intersection of the obtained unique identification information of the WiFi terminal to obtain the intersection of the unique identification information, specifically including:

For all the first image capturing devices in the plurality of first image capturing devices: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining the detection time interval including the occurrence time, and respectively obtaining the a set of unique identification information of the WiFi terminal detected by the WiFi detector of an image acquisition device in the detection time interval;

The set of unique identification information of the WiFi terminal respectively obtained for all the first image capturing devices in the plurality of first image capturing devices is subjected to intersection processing to obtain an intersection of unique identification information.
The method according to claim 1, wherein when the preset intersection mode is a cyclic intersection, the predetermined intersection manner is used for at least two of the plurality of first image acquisition devices. An image acquisition device: respectively obtaining an appearance time of the target person in the specified video recording, respectively determining a detection time interval including the appearance time, and respectively obtaining a WiFi detector of the first image acquisition device in the detecting a set of unique identification information of the WiFi terminal detected by the time interval; a process of performing the intersection of the obtained unique identification information of the WiFi terminal to obtain the intersection of the unique identification information, specifically including:

Step A: selecting two first image capturing devices from the plurality of first image capturing devices: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the occurrence time, And obtaining, respectively, a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

Step B: Perform intersection processing on a set of unique identification information of the WiFi terminal respectively obtained by the two first image collection devices of the plurality of first image collection devices, to obtain an intersection of the first unique identification information;

Step C: determining whether the number of unique identification information of the WiFi terminal in the intersection of the first unique identifier information is equal to 1; if yes, determining the intersection of the first unique identifier information as the final unique identifier information intersection, and ending the process If not, proceed to step D;

Step D: selecting an unselected first image capturing device from the plurality of first image capturing devices: obtaining an occurrence time of the target person in the specified video recording, and determining a detecting time interval including the occurrence time And obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

Step E: intersecting the set of unique identification information of the WiFi terminal obtained by the first image collection device with the first unique identification information, and determining the unique identification information of the WiFi terminal in the intersection after the intersection processing Whether the number is equal to 1; if yes, the intersection after the intersection processing is determined as the final unique identification information intersection; if not, the intersection after the intersection processing is intersected as the first unique identification information, and step D is performed.
The method according to any one of claims 1-3, wherein the unique identification information of the WiFi terminal specifically comprises: a media access control MAC address of the WiFi terminal.
A processing server, wherein the processing server is connected to a plurality of image collection devices including a wireless fidelity WiFi detector, and the processing server specifically includes:

An interface module, configured to obtain a plurality of specified video recordings including a target person;

a data processor, configured to determine a plurality of first image capturing devices that capture the specified video recording;

According to a preset intersection manner, for at least two first image collection devices of the plurality of first image acquisition devices: respectively obtaining an appearance time of the target person in the specified video recording, respectively determining to include the occurrence time a detection time interval, and respectively obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval; and performing intersection processing of the obtained unique identification information of the WiFi terminal, Obtain a unique identification information intersection;

Determining the unique identification information of the WiFi terminal in the intersection of the unique identification information as the unique identification information of the target person; obtaining an image collection device in which all the WiFi detectors that detect the unique identification information of the target person are located; The location of the image acquisition device where all the WiFi detectors are located, and the track information of the target person is determined.
A processing server according to claim 5, wherein

The data processor is specifically configured to: when the preset intersection mode is an intersection of all the sets, for all the first image capturing devices in the plurality of first image capturing devices: respectively obtaining the target person in the Determining the time of occurrence in the specified video recording, respectively determining a detection time interval including the occurrence time, and obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval respectively; The set of unique identification information of the WiFi terminal respectively obtained for all the first image capturing devices in the plurality of first image capturing devices is subjected to intersection processing to obtain an intersection of unique identification information.
The processing server according to claim 5, wherein the data processor is specifically configured to: when the preset intersection mode is a loop intersection intersection,

A. selecting two first image capturing devices from the plurality of first image capturing devices: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the occurrence time, and Obtaining, respectively, a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

B. Perform intersection processing on the set of unique identification information of the WiFi terminal respectively obtained by the two first image collection devices of the plurality of first image collection devices, to obtain an intersection of the first unique identification information;

C. determining whether the number of the unique identifier information of the WiFi terminal in the intersection of the first unique identifier information is equal to 1; if yes, determining the intersection of the first unique identifier information as the final unique identifier information intersection, and ending the process; If no, execute D;

D. Selecting an unselected first image capturing device from the plurality of first image capturing devices: obtaining an occurrence time of the target person in the specified video recording, and determining a detection time interval including the occurrence time, And obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

E. Intersection processing of the set of unique identification information of the WiFi terminal obtained by the first image collection device and the first unique identification information, and determining the number of unique identification information of the WiFi terminal in the intersection after the intersection processing Whether it is equal to 1; if yes, the intersection after the intersection processing is determined as the final unique identification information intersection; if not, the intersection after the intersection processing is intersected as the first unique identification information, and D is executed.
The processing server according to any one of claims 5-7, wherein the unique identification information of the WiFi terminal specifically includes: a media access control MAC address of the WiFi terminal.
A method for determining trajectory information of a target person is characterized in that it is applied to a system including a processing server and a plurality of image capturing devices connected to the processing server, and the image capturing device includes a wireless fidelity WiFi detector; The method includes:

The image capture device captures a video recording and outputs the video recording;

The WiFi detector detects the unique identification information of the WiFi terminal in its own detection area, and outputs a correspondence between the detected unique identification information and the detection time of the unique identification information;

The processing server obtains a plurality of specified video recordings including the target person based on the video recording; determining a plurality of first image capturing devices that capture the specified video recording; and according to the preset intersection manner, for the plurality of first images At least two first image collection devices in the collection device: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the appearance time, and respectively according to the unique identification information Corresponding relationship between the detection moments of the unique identification information, obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval, and obtaining the unique identification information of the WiFi terminal The set performs intersection processing to obtain a unique identification information intersection; the unique identification information of the WiFi terminal in which the unique identification information is centralized is determined as the unique identification information of the target person; and all the WiFis that detect the unique identification information of the target person are obtained. The image acquisition device where the detector is located; according to all the WiFi A position detector image capture device is located, determining the trajectory information of the target person.
The method of claim 9 wherein said system further comprises a video memory;

The image capture device outputs the video recording to the video memory when outputting the video recording; the video memory receives a video recording from the image capturing device, and stores the video recording; the processing The server obtains a plurality of specified video recordings containing the target person from the video memory.
The method of claim 9 wherein said system further comprises an identification memory;

And outputting, by the WiFi detector, a correspondence between the unique identifier information and the detection time of the unique identifier information, when the correspondence between the unique identifier information and the detection time of the unique identifier information is output to the Identifying a memory; the identifier memory receives a correspondence between the unique identification information from the WiFi detector and a detection time of the unique identification information, and stores between the unique identification information and the detection time of the unique identification information Corresponding relationship; the processing server obtains a correspondence between the unique identification information and the detection time of the unique identification information from the identification memory.
The method according to claim 9, wherein when the preset intersection mode is an intersection of all the sets, the processing server is configured to target at least one of the plurality of first image capturing devices according to a preset intersection manner. Two first image acquisition devices: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the appearance time, and respectively obtaining the WiFi detector of the first image acquisition device The process of detecting the set of the unique identification information of the WiFi terminal detected by the detection time interval, and performing the process of the intersection of the obtained unique identification information of the WiFi terminal to obtain the intersection of the unique identification information, specifically including:

The processing server is configured to obtain, for each of the plurality of first image capturing devices, the first image capturing device: obtaining the time of occurrence of the target person in the specified video recording, and determining a detection time interval including the occurrence time, respectively. And obtaining, respectively, a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

The set of unique identification information of the WiFi terminal respectively obtained for all the first image capturing devices in the plurality of first image capturing devices is subjected to intersection processing to obtain an intersection of unique identification information.
The method according to claim 9, wherein when the preset intersection mode is a loop intersection, the processing server is configured to target at least two of the plurality of first image collection devices according to a preset intersection manner. a first image capturing device: respectively obtaining an appearance time of the target person in the specified video recording, respectively determining a detection time interval including the appearance time, and respectively obtaining a WiFi detector of the first image capturing device Detecting WiFi detected in the time interval The process of the intersection of the unique identification information of the terminal, the collection of the unique identification information of the obtained WiFi terminal, and the process of obtaining the unique identification information intersection, specifically including the following steps:

Step A: The processing server selects two first image capturing devices from the plurality of first image capturing devices: respectively obtaining the occurrence moments of the target person in the specified video recording, and respectively determining the moments including the occurrence time. Detecting a time interval, and obtaining, respectively, a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

Step B: The processing server performs intersection processing on a set of unique identification information of the WiFi terminal respectively obtained by the two first image collection devices of the plurality of first image collection devices, to obtain an intersection of the first unique identification information;

Step C: The processing server determines whether the number of unique identification information of the WiFi terminal in the intersection of the first unique identifier information is equal to 1; if yes, the intersection of the first unique identifier information is determined as the final unique identifier information intersection And ending the process; if not, executing step D;

Step D: The processing server selects an unselected first image capturing device from the plurality of first image capturing devices: obtaining an appearance moment of the target person in the specified video recording, and determining to include the appearance moment Detecting a time interval, and obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

Step E: The processing server performs intersection processing on the intersection of the set of unique identification information of the WiFi terminal obtained by the first image collection device and the first unique identification information, and determines the WiFi terminal of the intersection after the intersection processing Whether the number of unique identification information is equal to 1; if yes, the intersection after the intersection processing is determined as the final unique identification information intersection; if not, the intersection after the intersection processing is intersected as the first unique identification information, and execution is performed Step D.
A system for determining trajectory information of a target person, wherein the system specifically includes a processing server and a plurality of image capturing devices connected to the processing server, and the image capturing device includes a wireless fidelity WiFi detector; ,

An image capture device for capturing a video recording and outputting the video recording;

a WiFi detector, configured to detect unique identification information of the WiFi terminal in the detection area of the detection unit, and output a correspondence between the detected unique identification information and the detection time of the unique identification information;

a processing server, configured to obtain, according to the video recording, a plurality of specified video recordings including a target person; determine a plurality of first image capturing devices that capture the specified video recording; and according to a preset intersection manner, for multiple At least two first image capturing devices in the first image capturing device: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining to include Obtaining a time interval of the occurrence time, and obtaining a WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval according to the correspondence between the unique identification information and the detection time of the unique identification information a set of unique identification information, the obtained set of unique identification information of the WiFi terminal is subjected to intersection processing to obtain an intersection of the unique identification information; and the unique identification information of the WiFi terminal in which the unique identification information is centralized is determined as the unique identifier of the target person Information; an image acquisition device in which all WiFi detectors that detect the unique identification information of the target person are located; and the track information of the target person is determined according to the location of the image acquisition device in which all the WiFi detectors are located.
The system of claim 14 wherein said system further comprises a video memory;

The image capturing device is specifically configured to output the video recording to the video memory;

The video memory is configured to receive a video recording from the image capturing device and store the video recording;

The processing server is configured to obtain, from the video memory, a plurality of specified video recordings including a target person.
The system of claim 14 wherein said system further comprises an identification memory;

The WiFi detector is specifically configured to output a correspondence between the unique identifier information and a detection time of the unique identifier information to the identifier memory;

The identifier storage is configured to receive a correspondence between the unique identification information from the WiFi detector and a detection time of the unique identification information, and store the detection information between the unique identification information and the unique identification information. Correspondence relationship

The processing server is specifically configured to obtain, from the identifier storage, a correspondence between the unique identifier information and the detection moment of the unique identifier information.
The system of claim 14 wherein:

The processing server is configured to: when the preset intersection manner is an intersection of all the sets, for all the first image collection devices in the plurality of first image collection devices: respectively obtaining the target person in the designation a time of occurrence in the video recording, respectively determining a detection time interval including the occurrence time, and respectively obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval; Handing over a set of unique identification information of the WiFi terminal respectively obtained by all the first image capturing devices in the plurality of first image capturing devices Set processing, get the intersection of unique identification information.
The system according to claim 14, wherein the processing server is specifically configured to: when the preset intersection mode is a loop intersection intersection,

A. selecting two first image capturing devices from the plurality of first image capturing devices: respectively obtaining the occurrence moments of the target person in the specified video recording, respectively determining a detection time interval including the occurrence time, and Obtaining, respectively, a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

B. Perform intersection processing on the set of unique identification information of the WiFi terminal respectively obtained by the two first image collection devices of the plurality of first image collection devices, to obtain an intersection of the first unique identification information;

C. determining whether the number of the unique identifier information of the WiFi terminal in the intersection of the first unique identifier information is equal to 1; if yes, determining the intersection of the first unique identifier information as the final unique identifier information intersection, and ending the process; If no, execute D;

D. Selecting an unselected first image capturing device from the plurality of first image capturing devices: obtaining an occurrence time of the target person in the specified video recording, and determining a detection time interval including the occurrence time, And obtaining a set of unique identification information of the WiFi terminal detected by the WiFi detector of the first image acquisition device in the detection time interval;

E. Intersection processing of the set of unique identification information of the WiFi terminal obtained by the first image collection device and the first unique identification information, and determining the number of unique identification information of the WiFi terminal in the intersection after the intersection processing Whether it is equal to 1; if yes, the intersection after the intersection processing is determined as the final unique identification information intersection; if not, the intersection after the intersection processing is intersected as the first unique identification information, and D is executed.
An application program for determining a method of determining trajectory information of a target person according to any one of claims 1-4, 9-13 at runtime.
A storage medium for storing an application, the application for determining a trajectory information of a target person according to any one of claims 1-4, 9-13 .