WO2016180323A1 - 客流量的统计方法及装置 - Google Patents

客流量的统计方法及装置 Download PDF

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Publication number
WO2016180323A1
WO2016180323A1 PCT/CN2016/081595 CN2016081595W WO2016180323A1 WO 2016180323 A1 WO2016180323 A1 WO 2016180323A1 CN 2016081595 W CN2016081595 W CN 2016081595W WO 2016180323 A1 WO2016180323 A1 WO 2016180323A1
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WIPO (PCT)
Prior art keywords
passenger flow
traffic
preset
outgoing
wifi
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PCT/CN2016/081595
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English (en)
French (fr)
Inventor
胡明辉
杜安强
Original Assignee
杭州海康威视数字技术股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Priority claimed from CN201510313952.3A external-priority patent/CN106295788B/zh
Application filed by 杭州海康威视数字技术股份有限公司 filed Critical 杭州海康威视数字技术股份有限公司
Priority to US15/573,755 priority Critical patent/US10769645B2/en
Priority to EP16792173.3A priority patent/EP3296929A4/en
Publication of WO2016180323A1 publication Critical patent/WO2016180323A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06M—COUNTING MECHANISMS; COUNTING OF OBJECTS NOT OTHERWISE PROVIDED FOR
    • G06M11/00—Counting of objects distributed at random, e.g. on a surface
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit

Definitions

  • the present application relates to the field of surveillance cameras, and in particular to a statistical method and apparatus for passenger flow.
  • the video traffic statistics network camera IPC generally needs to determine whether the person enters or exits according to the direction of movement of a certain person in the video when counting the traffic flow to/from a certain occasion, thereby obtaining a certain
  • the number of people entering and leaving the area can be used to reduce the number of people who go out and the number of people who go out.
  • the accuracy of the number of people entering and leaving the country can be more than 95%.
  • this technology lacks further determination of personnel information, which results in the number of people entering the game plus 1 when someone enters, and the number of people going out when the person goes out, and it is impossible to identify who is entering or going out.
  • the store's passenger flow statistics application if the store's salesperson repeatedly passes through the doorway, the number of passengers and outbound passengers in the passenger flow statistics will increase, causing the passenger flow statistics to be distorted, that is, the statistics obtained and the real traffic flow. There is a discrepancy between the two, which will eventually lead to the store's management being unable to make a correct decision because of the significant deviation in the traffic statistics obtained.
  • the embodiment of the present application provides a method and a device for counting traffic, so as to at least solve the technical problem that the statistical result is inaccurate due to the inability to further determine the personnel information of the statistician.
  • a method for collecting traffic statistics includes: acquiring video image information in a preset monitoring area; performing video analysis on the video image information, and determining that the video image information appears in the preset monitoring area according to the analysis result.
  • the incoming traffic of the actual detection area is statistically obtained or Outgoing traffic; reading the first terminal identifier of the WiFi terminal device carried by the first target person detected by the WiFi detector; determining whether the first terminal identifier is in the preset non-client personnel terminal identification database; if yes, Entering passenger traffic or outbound passenger traffic minus 1; if not, it does not change the incoming passenger traffic or outgoing passenger traffic.
  • a method for collecting traffic statistics includes: acquiring video image information in a preset monitoring area; performing video analysis on the video image information, and determining that the video image information appears in the preset monitoring area according to the analysis result.
  • the direction of movement of the first target person in the movement direction includes entering or going out; obtaining the first terminal identifier of the WiFi terminal device carried by the first target person through the WiFi detector, wherein the actual detection area of the WiFi detector covers the preset Monitoring area; determining whether the first terminal identifier is in a preset non-client personnel terminal identification database; if not, according to the movement direction of the first target personnel, correspondingly entering the passenger flow value or the outgoing passenger flow value plus one; if yes, Then the value of entering the passenger flow or the value of the outgoing passenger flow is not changed.
  • a method for collecting traffic statistics includes: obtaining a current statistic value of a traffic volume in a preset monitoring area, where the current statistic value of the foregoing traffic volume is detected up to a current time. a difference between the number of persons appearing in the preset monitoring area and the detected number of persons disappearing from the preset monitoring area; determining the detected person appearing in the preset monitoring area and detecting the detected Whether the person disappearing from the preset monitoring area satisfies the preset attribute condition; if it is determined that the detected person appearing in the preset monitoring area and the detected person disappearing from the preset monitoring area meets The preset attribute condition adjusts the current statistical value of the passenger flow to obtain an adjustment value of the passenger flow; and the adjusted value of the passenger flow is used as the actual value of the passenger flow in the preset monitoring area.
  • a statistical device for the traffic flow including: an obtaining unit, configured to acquire a current statistic value of the traffic in the preset monitoring area, where the current statistic value of the customer traffic is a difference between the number of persons appearing in the preset monitoring area detected before the current time and the detected number of persons disappearing from the preset monitoring area; the determining unit is configured to determine that the detected presence occurs Whether the person in the preset monitoring area and the detected person disappearing from the preset monitoring area meet the preset attribute condition; the adjusting unit is configured to determine The detected person who appears in the preset monitoring area and the detected person disappearing from the preset monitoring area satisfy the preset attribute condition, and then adjusts the current statistical value of the passenger flow to obtain the passenger flow. And an determining unit, configured to use the adjusted value of the foregoing traffic as the actual value of the traffic in the preset monitoring area.
  • the embodiment of the present application further provides a statistical device for traffic flow, including:
  • a first video image acquiring unit configured to acquire video image information in a preset monitoring area
  • a first motion direction determining unit configured to perform video analysis on the video image information, and determine, according to the analysis result, a motion direction of the first target person that appears in the preset monitoring area, where the motion direction is an incoming wireless detector The direction of the actual detection area or the direction from the actual detection area, wherein the actual detection area covers the preset monitoring area;
  • a first passenger flow statistics unit configured to obtain, according to the determined movement direction of the first target personnel, an incoming passenger flow or an outgoing passenger flow of the actual detection area
  • a first terminal identifier reading unit configured to read a first terminal identifier of the WiFi terminal device carried by the first target person detected by the WiFi detector
  • the first determining unit is configured to determine whether the first terminal identifier is in a preset non-client terminal identifier database, and if yes, reduce the incoming passenger traffic or the outgoing passenger traffic by one; if not, the Changing the incoming passenger flow or the outgoing passenger flow.
  • the embodiment of the present application further provides a statistical device for traffic flow, including:
  • a second video image acquiring unit configured to acquire video image information in a preset monitoring area
  • a second motion direction determining unit configured to perform video analysis on the video image information, and determine, according to the analysis result, a moving direction of the first target person appearing in the preset monitoring area, where the moving direction includes entering or going out;
  • a second terminal identifier reading unit configured to acquire, by using a WiFi detector, a first terminal identifier of the WiFi terminal device carried by the first target personnel, where an actual detection area of the WiFi detector covers the preset monitoring region;
  • a second determining unit configured to determine whether the first terminal identifier is in a preset non-customer terminal identifier database, and if not, according to the moving direction of the first target person, correspondingly entering a passenger flow value or going out The traffic value is incremented by one; if so, the incoming traffic value or the outgoing passenger flow value is not changed.
  • the embodiment of the present application further provides a storage medium, where the storage medium is used to store an application, and the application is used to execute at the runtime: any statistical method for the passenger flow provided by the embodiment of the present application .
  • the embodiment of the present application further provides an application program, which is used to execute at the time of running: any statistical method of the passenger flow provided by the embodiment of the present application.
  • the embodiment of the present application further provides an electronic device, including: a processor, a memory, a communication interface, and a bus; the processor, the memory, and the communication interface are connected through the bus and complete communication with each other;
  • the memory stores executable program code; the processor executes a program corresponding to the executable program code by reading executable program code stored in the memory for execution: provided by the embodiment of the present application Any statistical method of passenger flow.
  • the statistical method for any type of passenger flow information provided by the embodiment of the present application can effectively prevent the increase in the number of passengers and the number of outgoing passengers and the distortion of the passenger traffic statistics caused by the store's salesperson repeatedly passing through the door. Let the statistics obtained truly represent the number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the current statistic value of the traffic in the preset monitoring area is obtained by setting the wifi probe in the network camera, and the current statistic value of the traffic is detected until the current time. Determining the difference between the number of people in the preset monitoring area and the detected number of people disappearing from the preset monitoring area; determining the detected person appearing in the preset monitoring area and the detected from the preset monitoring area Whether the person disappearing within the meeting satisfies the preset attribute condition; if it is determined that the detected person appearing in the preset monitoring area and the detected person disappearing from the preset monitoring area satisfy the preset attribute condition, the passenger flow is adjusted.
  • the current statistical value, the adjusted value of the passenger flow; and the adjustment value of the passenger flow as the actual value of the passenger flow in the preset monitoring area achieves the purpose of further determining the personnel information of the statistician, thereby achieving the elimination
  • the influence of the personnel who meet the pre-determined attribute conditions on the statistical results achieves the technical effect of improving the accuracy of the statistical results, thereby solving the problem.
  • the technical problem of inaccurate statistical results caused by the personnel information of the statisticians cannot be further determined.
  • 1 is a flow chart of an optional statistical method for passenger traffic according to an embodiment of the present application
  • FIG. 2 is a flow chart of an optional statistical method for passenger traffic according to an embodiment of the present application.
  • FIG. 3 is a flow chart of an optional statistical system for passenger traffic according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of an optional statistical device for passenger traffic according to an embodiment of the present application.
  • a method embodiment of a statistical method for passenger flow is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer executable instructions. Also, although logical sequences are shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.
  • the WiFi detector refers to a device or module that can detect a WiFi signal, such as a WiFi probe.
  • the WiFi terminal device 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.
  • the WiFi terminal device Based on the WiFi module, the WiFi terminal device periodically transmits a WiFi signal, and the WiFi signal carries the unique identification information of the WiFi terminal device.
  • FIG. 1 is a flowchart of an optional statistical method for passenger traffic according to an embodiment of the present application. As shown in FIG. 1 , the method includes the following steps:
  • Step S101 Acquire video image information in a preset monitoring area.
  • Step S103 performing video analysis on the video image information, and determining, according to the analysis result, the moving direction of the first target person appearing in the preset monitoring area, the moving direction is the direction of entering the actual detecting area of the wireless detector or going out from the actual detecting area.
  • step S105 according to the determined movement direction of the first target person, the incoming passenger flow or the outgoing passenger flow of the actual detection area is obtained.
  • the pure video technology of the network camera IPC can be used to monitor and count the traffic in the preset monitoring area, and obtain the current The traffic flow statistics of the preset monitoring area.
  • the passenger flow statistics are the incoming passenger traffic or the outgoing passenger traffic.
  • the IPC may include: a video capture module and a DSP operation module.
  • the video capture module is configured to acquire video image information of real-time video in a preset monitoring area, and may highlight the video image information to improve simple image processing such as contrast.
  • the DSP operation module is used for pattern recognition of the collected video image information, identifying all the persons appearing in the video (can be any first target person) and these The direction of movement of the person and determine whether they enter the preset area or the preset area based on their direction of motion.
  • Step S107 The first terminal identifier of the WiFi terminal device carried by the first target person detected by the WiFi detector is read.
  • the terminal identifier of the WiFi terminal device in the embodiment of the present application is not limited to the MAC address, the IP address, and the factory serial number of the WiFi terminal device, which uniquely identifies the data of the WiFi terminal device.
  • the WiFi detector can be a WiFi detector built into the network camera or a WiFi detector deployed separately from the network camera.
  • the WiFi detector associated with the IPC of the network camera simultaneously detects the target personnel entering the actual detection area. The information of the WiFi terminal device carried, thereby further eliminating unreasonable traffic statistics.
  • Step S109 Determine whether the first terminal identifier is in a preset non-client personnel terminal identification database.
  • step S111 if yes, the incoming passenger flow or the outgoing passenger flow is decremented by one.
  • step S113 if not, the incoming passenger flow or the outgoing passenger flow is not changed.
  • the IPC can use the video traffic statistics method to perform intelligent analysis using video pattern recognition, and the number of statisticians entering and leaving the preset monitoring area, that is, obtaining the current statistical value of the passenger flow in the store, wherein the traffic in the store is
  • the current statistic is the difference between the number of customers appearing in the store detected up to the current time and the number of detected customers coming out of the store; further, the IPC determines the detected person and presence in the store. Whether the customer coming out of the store is the salesperson of the store; if it is the salesperson of the store, the current statistical value of the passenger flow is adjusted to obtain the adjustment value of the passenger flow. Specifically, the current statistical value is reduced by one.
  • the adjustment value of the traffic; and the adjustment value of the traffic is used as the actual value of the traffic of the store, and the actual value is uploaded to the background server. It should be noted that, taking the IPC set at the door of a store as an example, during implementation, the IPC can count the incoming traffic or the outgoing traffic of the actual detection area. Further, the IPC judges the detected personnel and detections appearing in the store.
  • Incoming traffic is decremented by 1, otherwise, the incoming traffic is not changed; and if the detected person coming out of the store (ie, the direction in which the person moves in the direction from the actual detection area) is the salesperson of the store, he will go out.
  • Passenger traffic is reduced by 1, otherwise, the outbound passenger traffic is not changed.
  • the information of the person who brings the passenger flow in the preset monitoring area can be further determined, not only can the number of people entering the person increase when the person enters, but also the number of people who go out when the person goes out, and the person who can enter and exit can be identified.
  • the preset area Especially in the store’s traffic statistics application,
  • the WiFi detector may be a wifi probe
  • the hardware module thereof may include: a communication module
  • the utility model is configured to provide a network access function to a preset area, receive a MAC whitelist information of a mobile phone delivered by the management terminal, and upload a passenger flow statistics data and video image data; and a wifi detection module, configured to detect whether there is a mobile phone MAC address, etc. in real time. Appearing, specifically, the area coverage door and the inside of the store can be perceived; the storage module is configured to store the MAC whitelist information of the mobile phone and the like and store the traffic statistics data for a period of time.
  • the white list may be a list of MAC address information of the wifi device recorded in advance.
  • the combination of the wireless sensing means and the video acquisition and judgment means is used to adjust the entry and exit times of the personnel in the preset monitoring area such as a store, and the predetermined attribute conditions (such as a salesperson, etc.) are met.
  • the number of entry and exit times is eliminated, achieving a true and reliable effect of ensuring the statistical value of the passenger traffic obtained.
  • the use of the present application can effectively prevent the increase in the number of incoming and outgoing passengers and the distortion of the passenger traffic statistics caused by the salespersons of the store repeatedly passing through the doorway, so that the obtained statistics truly represent The number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the present application may perform the above steps S101 to S113 through a network camera. In another optional embodiment, the present application may perform the above steps S101 to S113 through the server. It should be emphasized that the server can be a background server or a management terminal.
  • the WiFi detector described above may be disposed in the network camera, or the WiFi detector may be independent of the network camera.
  • the method may further include: determining that the WiFi detector detects the first terminal identifier from the actual detection area, before the corresponding outgoing traffic is decremented by one. Whether the length of time that disappears reaches a preset value, and if so, performs a step of decrementing the outgoing passenger flow by one.
  • the wireless detector in the foregoing embodiment of the present application may include one of the following devices: a wifi probe, an RFID (Radio Frequency Identification) device, an NFC (Near Field Communication) device, and Communication equipment of the 433/866 protocol.
  • a wifi probe an RFID (Radio Frequency Identification) device, an NFC (Near Field Communication) device, and Communication equipment of the 433/866 protocol.
  • RFID Radio Frequency Identification
  • NFC Near Field Communication
  • Communication equipment of the 433/866 protocol Preferably, it can be an IPC with a wifi probe.
  • the user can be authenticated by video technology, and the person carrying the device with the wifi module can be identified by the wifi probe to adjust the current statistical value of the traffic.
  • the wireless detector may be the same device as the WiFi detector that detects the first terminal identifier of the WiFi terminal device carried by the first target person, for example: a WiFi probe; of course, the wireless detector can detect The WiFi detector that obtains the first terminal identifier of the WiFi terminal device carried by the first target person is a different device.
  • the target personnel enters the actual detection area too frequently, the statistical result of the target personnel entering and leaving the actual detection area is redundant.
  • the present application obtains statistics. After the incoming traffic or the outgoing traffic of the actual detection area, a scheme for deleting the number of redundant accesses is also provided, which can be implemented by the following steps:
  • the number of times the first target person enters the actual detection area within a predetermined period of time or the number of out of the actual detection area is read. This step determines the frequency with which the target person enters and exits the actual detection area.
  • the passenger traffic will be subtracted from the number of entries, the actual passenger traffic will be obtained, or the number of outgoing passengers will be subtracted from the number of outgoing passengers to obtain the actual outgoing passenger traffic;
  • the terminal 204 (such as a mobile phone, etc.) of all salespersons in the store may be registered on the management terminal 202 of the merchant. If a salesperson has multiple terminals simultaneously, the terminals need to be fully registered, and when implemented, these salespersons are required to be implemented.
  • the WiFi terminal device 204 carried by them must be kept in the wifi on state during the working hours.
  • the webcam 206 having the wifi probe can download the information of all the registered salesperson's terminals 204 into its own memory through the merchant's management terminal 202. Further, the IPC can store the information as a white list in the memory. When a person enters or exits the store, the webcam 206 with the wifi probe can determine whether the person is entering or going out by pure video analysis means, thereby calculating the number of people entering and going out.
  • the webcam 206 with the wifi probe will also consider that a person enters or goes out, and when the webcam 206 with the wifi probe considers that a person has entered, the incoming person will be incremented by one, in the webcam 206 with the wifi probe. When there is a person going out, the number of outings will be increased by one.
  • the webcam 206 with the wifi probe can be erected at the store door, and the merchant's management terminal 202 is erected in the machine room or store.
  • a software platform is installed on the management terminal 202 of the store, which can manage the basic information of the salesperson, and can also input the MAC address information of the salesperson's terminal 204 (such as a mobile phone), and can download and update these MAC address information to have a wifi probe.
  • the webcam 206 with the wifi probe can perform pattern recognition through video, analyze the direction of movement of the person, and determine whether to enter or go out, thereby updating the current entry and exit times of the store.
  • the network camera 206 can also detect the MAC address information of all the terminals that appear, and according to the detected MAC address information, go to the whitelist list inside the network camera 206 to match, if the MAC information is retrieved, it belongs to the whitelist list. , it is considered that the salesperson enters or goes out, and then adjusts the number of incoming and outgoing people obtained through video analysis and statistics.
  • the network camera 206 with the wifi probe detects that the MAC address of a terminal appears, and the MAC address of the terminal is included in the wifi.
  • the whitelist of the network camera 206 of the pin that is, the webcam 206 having the wifi probe can determine from the whitelist that a current salesperson has entered the store, so the webcam 206 with the wifi probe will consider the current entry. The number of times should not be counted, so that the number of incoming people is adjusted, and the number of incoming digits of the video analysis statistics is reduced by 1.
  • the webcam 206 with the wifi probe will consider that the current number of incoming people should be counted, so that the number of incoming visits is not adjusted.
  • the network camera 206 with the wifi probe uses the video analysis means to increase the number of outgoing visits by one, if at the same time, the MAC address of the terminal 204 of the salesperson that can be detected before is found in the most recent period (such as 10). If it is not detected within a second, it is considered that a salesperson is going out and making adjustments to the number of people who go out, that is, the number of outings is reduced by one.
  • the network camera 206 with the wifi probe timely uploads the actual value of the adjusted traffic to the background server or the management terminal.
  • the entry and exit counts of the salespersons in the store can be removed, thereby obtaining the basic accurate number of times the pure customers enter and exit the store, so that the statistical results are more real and effective.
  • the aforementioned network camera IPC may be a wifi probe IPC, that is, a network camera that incorporates a wifi probe technology, and has a device for providing wireless signal detection and acquisition, video acquisition, video analysis, target counting, and network transmission, and includes: Wifi probe.
  • the wifi probe can detect the MAC address information of the wifi device.
  • the statistical method of the other kind of passenger flow can effectively prevent the increase of the number of passengers and the number of outgoing passengers and the distortion of the passenger traffic statistics caused by the salespersons of the store repeatedly passing through the doorway, so that the obtained The statistics really indicate the number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • a method embodiment of a statistical method for passenger flow is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer executable instructions. Also, although logical sequences are shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.
  • FIG. 3 is a flowchart of an optional statistical method for passenger traffic according to an embodiment of the present application. As shown in FIG. 3, the method includes the following steps:
  • Step S202 Acquire a current statistic value of the traffic volume in the preset monitoring area, where the current statistic value of the guest traffic is the number of persons that appear in the preset monitoring area and the detected slave preset monitoring detected up to the current time. The difference in the number of people who disappeared in the area;
  • Step S204 determining whether the detected person appearing in the preset monitoring area and the detected person disappearing from the preset monitoring area meet the preset attribute condition
  • Step S206 if it is determined that the detected person appearing in the preset monitoring area and the detected person disappearing from the preset monitoring area meet the preset attribute condition, the current statistical value of the passenger flow is adjusted to obtain the passenger flow. Adjustment value;
  • Step S208 the adjustment value of the passenger flow is taken as the actual value of the passenger flow in the preset monitoring area.
  • the current statistics of the traffic in the preset monitoring area can be obtained through the pure video technology of the IPC of the network camera.
  • the IPC includes a video capture module and a DSP operation module.
  • the video capture module is used to obtain the preset monitoring area.
  • Real-time video and highlight the real-time video to improve the simple image processing such as contrast, to improve the clarity of the image, improve the detection accuracy of the personnel;
  • DSP computing module is used to pattern recognition of the captured real-time video, identify All the people appearing in the video and the direction of their movement, and depending on their direction of movement, determine whether they are entering the preset area or coming out of the preset area.
  • the IPC can use the video traffic statistics method to perform intelligent analysis using video pattern recognition, and the number of statisticians entering and leaving the preset area, that is, obtaining the current statistical value of the passenger flow in the store, where the current traffic of the store is current.
  • the statistical value is the difference between the number of customers appearing in the store detected up to the current time and the number of detected customers coming out of the store; further, the IPC judges the detected person who appears in the store and detects Whether the customer coming out of the store is the salesperson of the store; if it is the salesperson of the store, the current statistical value of the passenger flow is adjusted to obtain the adjustment value of the passenger flow. Specifically, the current statistical value is reduced by 1 to be the passenger flow.
  • the adjustment value of the quantity; and the adjustment value of the passenger flow is taken as the actual value of the traffic of the store, and the actual value is uploaded to the background server.
  • One step is to determine that not only can one increase the number of people entering when someone enters, but also increase the number of people who go out when they go out, and they can identify who is entering or leaving the preset area.
  • the use of the present application can effectively prevent the increase in the number of passengers and the number of outgoing passengers and the distortion of the traffic statistics due to the repeated sales of the store's salespersons.
  • the statistics obtained really represent the number of customers entering and leaving.
  • the purpose of further determining the personnel information of the statistician can be achieved, thereby realizing the influence of the eliminated personnel satisfying the predetermined attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the following steps may be used to determine whether the detected person appearing in the preset monitoring area and the detected person disappearing from the preset monitoring area meet the preset attribute condition:
  • the terminal of the person who meets the preset attribute condition may be used as the preset terminal, and the information of the preset terminal is registered to the management terminal of the preset area, and when implemented, the information of the preset terminal may be The management terminal is downloaded to the IPC.
  • the embodiment of the present application it is possible to determine whether the person is a person who meets the preset attribute condition by determining whether the WiFi terminal device carried by the person entering or leaving the preset area is a preset terminal that has been pre-registered, thereby achieving the purpose of easy identification. .
  • determining whether the detected WiFi terminal device carried by the person appearing in the preset monitoring area and the detected WiFi terminal device carried by the person disappearing from the preset monitoring area are preset terminals include :
  • S4 Determine the WiFi terminal that is carried by the detected person who appears in the preset monitoring area. Whether the address information of the device and the detected address information of the WiFi terminal device carried by the person disappearing from the preset monitoring area are preset address information.
  • the terminal of the person who meets the preset attribute condition may be used as the preset terminal, and the address information (such as the MAC address information) of the preset terminal may be entered into the management terminal of the preset area, and the implementation may be performed.
  • the address information of the preset terminal (such as MAC address information) is downloaded from the management terminal to the IPC.
  • the address information (such as the MAC address information) of the detecting terminal is easy to operate, it is determined whether the address information of the terminal carried by the person who enters or exits the preset area is the address information of the preset terminal that has been pre-recorded. To determine whether a person is a person who meets the conditions of a preset attribute, the object is simple and easy to operate.
  • detecting whether the detected address information of the WiFi terminal device carried by the person appearing in the preset monitoring area and the detected address information of the WiFi terminal device carried by the person disappearing from the preset monitoring area are The default address information includes:
  • S6 determining, by using a WiFi detector, address information of the detected WiFi terminal device carried by the person appearing in the preset monitoring area, and detecting the address information of the WiFi terminal device carried by the person disappearing from the preset monitoring area Whether it is preset address information.
  • the WiFi detector may be a wifi probe
  • the hardware module may include: a communication module, configured to provide a network access function to the preset area, receive the MAC whitelist information of the mobile phone delivered by the management terminal, and upload the passenger flow statistics. And the video image data; the wifi detection module is used for real-time sensing to detect whether there is a mobile phone MAC address, etc., specifically, the area coverage door and the store interior can be perceived; the storage module is used to store the mobile phone MAC whitelist information and the like. Traffic statistics for a period of time.
  • the white list may be a list of MAC address information of the wifi device recorded in advance.
  • the combination of the wireless sensing means and the video acquisition and judgment means is used to adjust the entry and exit times of the personnel in the preset monitoring area such as a store, and the predetermined attribute conditions (such as a salesperson, etc.) are met.
  • the number of entry and exit times is eliminated, achieving a true and reliable effect of ensuring the statistical value of the passenger traffic obtained.
  • the WiFi detector may comprise one of the following: a communication device with a wifi probe, an RFID communication device, an NFC communication device, and a communication device based on the 433/866 protocol.
  • a communication device with a wifi probe Preferably, It can be an IPC with a wifi probe.
  • the user can be authenticated by video technology, and the person carrying the device with the wifi module can be identified by the wifi probe to adjust the current statistical value of the traffic.
  • obtaining current statistics of the traffic in the preset monitoring area may include:
  • the terminal 204 (such as a mobile phone, etc.) of all salespersons in the store may be registered on the management terminal 202 of the merchant. If a salesperson has multiple terminals simultaneously, the terminals need to be fully registered, and when implemented, these salespersons are required to be implemented.
  • the WiFi terminal device 204 carried by them must be kept in the wifi on state during the working hours.
  • the webcam 206 having the wifi probe can download the information of all the registered salesperson's terminals 204 into its own memory through the merchant's management terminal 202. Further, the IPC can store the information as a white list in the memory.
  • the webcam 206 with the wifi probe can determine whether the person is entering or going out by pure video analysis means, thereby calculating the number of people entering and going out. If the salesperson of the store enters or goes out, similarly, the webcam 206 with the wifi probe will also consider that a person enters or goes out, and when the webcam 206 with the wifi probe considers that a person enters, the number of incoming people is increased by one. When the webcam 206 having the wifi probe considers that a person is out, the number of outgoing trips is increased by one.
  • the webcam 206 with the wifi probe can be erected at the store door, and the merchant's management terminal 202 is erected in the machine room or store.
  • a software platform is installed on the management terminal 202 of the store, which can manage the basic information of the salesperson, and can also input the MAC address information of the salesperson's terminal 204 (such as a mobile phone), and can download and update these MAC address information to have a wifi probe.
  • Network camera 206 with wifi probe can enter through video Line pattern recognition analyzes the direction of the person's movement and determines whether they are entering or going out, thus updating the current entry and exit times of the store.
  • the device can also detect the MAC address information of all the terminals that appear, and according to the detected MAC address information, go to the whitelist list in the device to match, and if the MAC information is found to belong to the whitelist list, it is considered to be
  • the salesperson enters or goes out, and then adjusts the number of incoming and outgoing people obtained through video analysis and statistics.
  • the network camera 206 with the wifi probe detects that the MAC address of a terminal appears, and the MAC address of the terminal is included in the wifi.
  • the whitelist of the network camera 206 of the pin that is, the webcam 206 having the wifi probe can determine from the whitelist that a current salesperson has entered the store, so the webcam 206 with the wifi probe will consider the current entry. The number of times should not be counted, so that the number of incoming people is adjusted, and the number of incoming digits of the video analysis statistics is reduced by 1.
  • the webcam 206 with the wifi probe will consider that the current number of incoming people should be counted, so that the number of incoming visits is not adjusted.
  • the network camera 206 with the wifi probe uses the video analysis means to increase the number of outgoing visits by one, if at the same time, the MAC address of the terminal 204 of the salesperson that can be detected before is found in the most recent period (such as 10). If it is not detected within a second, it is considered that a salesperson is going out and making adjustments to the number of people who go out, that is, the number of outings is reduced by one.
  • the network camera 206 with the wifi probe timely uploads the actual value of the adjusted traffic to the background server or the management terminal.
  • the network camera 206 with the wifi probe can perform intelligent analysis by using video pattern recognition through video passenger flow statistics, and the statistician enters and exits the pre-preparation.
  • the number of monitoring areas is set, that is, the current statistical value of the passenger flow in the store is obtained, wherein the current statistical value of the passenger flow in the store is the detected number of customers appearing in the store and the detected time up to the current time.
  • the entry and exit counts of the salespersons in the store can be removed, thereby obtaining the basic accurate number of times the pure customers enter and exit the store, so that the statistical results are more real and effective.
  • the aforementioned network camera IPC may be a wifi probe IPC, that is, a network camera that incorporates a wifi probe technology, and has a device for providing wireless signal detection and acquisition, video acquisition, video analysis, target counting, and network transmission, and includes: Wifi probe.
  • the wifi probe can detect the MAC address information of the wifi device.
  • an apparatus embodiment of a statistical device for passenger flow is provided.
  • the apparatus includes an acquisition unit 302, a determination unit 304, an adjustment unit 306, and a determination unit 308.
  • the obtaining unit 302 is configured to obtain a current statistic value of the traffic in the preset monitoring area, where the current statistic value of the traffic is the number of persons that are detected in the preset monitoring area and detected from the current time.
  • the difference between the number of persons disappearing in the monitoring area is set; the determining unit 304 is configured to determine whether the detected person appearing in the preset monitoring area and the detected person disappearing from the preset monitoring area meet the preset attribute condition
  • the adjusting unit 306 is configured to: after determining that the detected person appearing in the preset monitoring area and the detected person disappearing from the preset monitoring area meet the preset attribute condition, adjusting the current statistical value of the passenger flow, and obtaining The adjustment value of the passenger flow; and the determining unit 308 is configured to use the adjusted value of the passenger flow as the actual value of the passenger flow in the preset monitoring area.
  • the IPC can use the video traffic statistics method to perform intelligent analysis using video pattern recognition, and the number of statisticians entering and leaving the preset area, that is, obtaining the current statistical value of the passenger flow in the store, where the current traffic of the store is current.
  • the statistical value is the difference between the number of customers appearing in the store detected up to the current time and the number of detected customers coming out of the store; further, the IPC judges the detected person who appears in the store and detects Whether the customer coming out of the store is the salesperson of the store; if it is the salesperson of the store, the current statistical value of the passenger flow is adjusted to obtain the adjustment value of the passenger flow. Specifically, the current statistical value is reduced by 1 to be the passenger flow.
  • the adjustment value of the quantity; and the adjustment value of the passenger flow is taken as the actual value of the traffic of the store, and the actual value is uploaded to the background server.
  • the use of the present application can effectively prevent the increase in the number of passengers and the number of outgoing passengers and the distortion of the traffic statistics due to the repeated sales of the store's salespersons.
  • the statistics obtained really represent the number of customers entering and leaving.
  • the purpose of further determining the personnel information of the statistician can be achieved, thereby realizing the influence of the eliminated personnel satisfying the predetermined attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the determining unit is further configured to determine, by using the following function module, whether the detected person who appears in the preset monitoring area and the detected person that disappears from the preset monitoring area meet the preset attribute condition: the detecting module,
  • the device is configured to determine whether the detected WiFi terminal device carried by the person appearing in the preset monitoring area and the detected WiFi terminal device carried by the person disappearing from the preset monitoring area is a preset terminal, and is determined to be detected.
  • the WiFi terminal device carried by the person appearing in the preset monitoring area and the detected WiFi terminal device carried by the person disappearing from the preset monitoring area are preset terminals, it indicates that the detected occurrence occurs in the preset.
  • the personnel in the monitoring area and the detected personnel disappearing from the preset monitoring area satisfy the preset attribute condition, and determine the detected WiFi terminal device and the detected slave carried by the person appearing in the preset monitoring area. If the WiFi terminal device carried by the person who disappears in the preset monitoring area is not the preset terminal, it indicates that the detected monitoring device appears in the preset monitoring area. The staff and personnel detected disappeared from the area within a preset monitoring conditions are not satisfied preset attributes.
  • the terminal of the person who meets the preset attribute condition may be used as the preset terminal, and the information of the preset terminal is registered to the management terminal of the preset area, and when implemented, the information of the preset terminal may be The management terminal is downloaded to the IPC.
  • the detecting module is further configured to determine the address information of the detected WiFi terminal device carried by the person who appears in the preset monitoring area, and the detected WiFi terminal device carried by the person who disappears from the preset monitoring area. Whether the address information is preset address information.
  • the terminal of the person who meets the preset attribute condition may be used as the preset terminal, and the address information (such as the MAC address information) of the preset terminal may be entered into the management terminal of the preset area, and the implementation may be performed.
  • the address information of the preset terminal (such as MAC address information) is downloaded from the management terminal to the IPC.
  • the address information (such as the MAC address information) of the detecting terminal is easy to operate, it is determined whether the address information of the terminal carried by the person who enters or exits the preset area is the address information of the preset terminal that has been pre-recorded. To determine whether a person is a person who meets the conditions of a preset attribute, the object is simple and easy to operate.
  • the detecting module is further configured to determine, by the WiFi detector, the address information of the detected WiFi terminal device carried by the person appearing in the preset monitoring area and the detected person who disappears from the preset monitoring area. Whether the address information of the WiFi terminal device is the preset address information.
  • the WiFi detector may be a wifi probe
  • the hardware module may include: a communication module, configured to provide a network access function to the preset area, receive the MAC whitelist information of the mobile phone delivered by the management terminal, and upload the passenger flow statistics. And the video image data; the wifi detection module is used for real-time sensing to detect whether there is a mobile phone MAC address, etc., specifically, the area coverage door and the store interior can be perceived; the storage module is used to store the mobile phone MAC whitelist information and the like. Traffic statistics for a period of time.
  • the white list may be a list of MAC address information of the wifi device recorded in advance.
  • the combination of the wireless sensing means and the video acquisition and judgment means is used to adjust the entry and exit times of the personnel in the preset monitoring area such as a store, and the predetermined attribute conditions (such as a salesperson, etc.) are met.
  • the number of entry and exit times is eliminated, achieving a true and reliable effect of ensuring the statistical value of the passenger traffic obtained.
  • the obtaining unit may include: an obtaining module, a first determining module, a second determining module, and a calculating module.
  • the acquiring module is configured to acquire a video image of the preset area
  • the first determining module is configured to determine, according to the acquired video image of the preset area, a motion direction of each person in the preset monitoring area
  • a second determining module configured to determine The direction of movement of each person in the preset monitoring area determines the number of persons appearing in the preset monitoring area and the number of persons disappearing from the preset monitoring area
  • the current statistical value of the passenger flow is calculated by the number of people in the area and the number of people disappearing from the preset monitoring area.
  • the embodiment of the present application provides a statistical device for passenger traffic, including:
  • a first video image acquiring unit configured to acquire video image information in a preset monitoring area
  • a first motion direction determining unit configured to perform video analysis on the video image information, and determine, according to the analysis result, a motion direction of the first target person that appears in the preset monitoring area, where the motion direction is an incoming wireless detector The direction of the actual detection area or the direction from the actual detection area, wherein the actual detection area covers the preset monitoring area;
  • a first passenger flow statistics unit configured to obtain, according to the determined movement direction of the first target personnel, an incoming passenger flow or an outgoing passenger flow of the actual detection area
  • a first terminal identifier reading unit configured to read a first terminal identifier of the WiFi terminal device carried by the first target person detected by the WiFi detector
  • the first determining unit is configured to determine whether the first terminal identifier is in a preset non-client terminal identifier database, and if yes, reduce the incoming passenger traffic or the outgoing passenger traffic by one; if not, the Changing the incoming passenger flow or the outgoing passenger flow.
  • the first video image acquiring unit, the first motion direction determining unit, the first guest traffic statistics unit, the first terminal identifier reading unit, and the first judgment included in the statistical device for the passenger flow in this embodiment The units may all be units running on the network camera, or may be units running in the management terminal; of course, the modules included in the statistical device of the traffic flow in this embodiment may also be operated in different devices, for example, The first video image acquiring unit may be operated in the network camera, and the remaining units may be operated on the management terminal; or the first video image acquiring unit, the first motion direction determining unit, and the first traffic statistics unit may be operated in the network camera. And the remaining units can run in the management terminal, and so on.
  • the statistical device for the passenger flow provided by the embodiment can effectively prevent the increase of the number of passengers and the number of outgoing passengers and the distortion of the passenger traffic statistics caused by the salespersons of the store repeatedly passing through the doorway.
  • the statistics obtained really represent the number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the embodiment of the present application further provides a statistical device for passenger traffic.
  • a statistical device for passenger traffic include:
  • a second video image acquiring unit configured to acquire video image information in a preset monitoring area
  • a second motion direction determining unit configured to perform video analysis on the video image information, and determine, according to the analysis result, a moving direction of the first target person appearing in the preset monitoring area, where the moving direction includes entering or going out;
  • a second terminal identifier reading unit configured to acquire, by using a WiFi detector, a first terminal identifier of the WiFi terminal device carried by the first target personnel, where an actual detection area of the WiFi detector covers the preset monitoring region;
  • a second determining unit configured to determine whether the first terminal identifier is in a preset non-customer terminal identifier database, and if not, according to the moving direction of the first target person, correspondingly entering a passenger flow value or going out The traffic value is incremented by one; if so, the incoming traffic value or the outgoing passenger flow value is not changed.
  • the second video image acquiring unit, the second motion direction determining unit, the second terminal identifier reading unit, and the second determining unit included in the traffic statistics device in this embodiment may all run on the network.
  • the units of the camera may also be units running in the management terminal; of course, the modules included in the statistics device of the traffic flow in this embodiment may also be operated in different devices, for example, the second video image acquisition unit. It can be operated in a network camera, and the remaining units can be operated on the management terminal; or, the second video image acquisition unit and the second motion direction determination unit can be operated in the network camera, and the remaining units can be operated in the management terminal, and the like.
  • the statistical device for the passenger flow information provided by the embodiment can effectively prevent the increase of the number of passengers and the number of outgoing passengers and the distortion of the passenger flow statistics caused by the salesperson of the store repeatedly passing through the doorway.
  • the statistics obtained really represent the number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the embodiment of the present application further provides a storage medium for storing an application, where the application is used to execute at runtime: a statistical method for passenger traffic provided by the embodiment of the present application Specifically, a statistical method for the traffic flow provided by the embodiment of the present application may include:
  • the storage medium stores an application program for performing the statistical method of the passenger flow provided by the embodiment of the present application at the time of operation, so that it can effectively prevent the traffic flow statistics caused by the store salesperson repeatedly passing through the doorway.
  • the number of incoming and outgoing visits and the distortion of passenger traffic statistics make the statistics truly represent the number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the embodiment of the present application further provides a storage medium for storing an application, where the application is used to execute at runtime: another type of traffic statistics provided by the embodiment of the present application.
  • the method for calculating the other type of traffic provided by the embodiment of the present application may include:
  • the WiFi detector Acquiring, by the WiFi detector, the first terminal identifier of the WiFi terminal device carried by the first target person, where the actual detection area of the WiFi detector covers the preset monitoring area;
  • the storage medium stores an application program for performing the statistical method of the passenger flow provided by the embodiment of the present application at the time of operation, so that it can effectively prevent the traffic flow statistics caused by the store salesperson repeatedly passing through the doorway.
  • the number of incoming and outgoing visits and the distortion of passenger traffic statistics make the statistics truly represent the number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the embodiment of the present application further provides an application program, which is executed at runtime: a statistical method for the traffic flow provided by the embodiment of the present application;
  • a statistical method of passenger traffic which may include:
  • the application performs the statistical method of the passenger flow provided by the embodiment of the present application at runtime, so that it can effectively prevent the entry and exit of the passenger traffic statistics caused by the store salesperson repeatedly passing through the doorway.
  • the increasing number of people and the distortion of passenger traffic statistics make the statistics obtained truly represent the number of customers entering and leaving. That is, through this application
  • the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the predetermined attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the embodiment of the present application further provides an application program for performing, at runtime, another statistical method for the traffic flow provided by the embodiment of the present application;
  • the statistical method of the other kind of passenger flow provided may include:
  • the WiFi detector Acquiring, by the WiFi detector, the first terminal identifier of the WiFi terminal device carried by the first target person, where the actual detection area of the WiFi detector covers the preset monitoring area;
  • the application performs the statistical method of the passenger flow provided by the embodiment of the present application at runtime, so that it can effectively prevent the entry and exit of the passenger traffic statistics caused by the store salesperson repeatedly passing through the doorway.
  • the increasing number of people and the distortion of passenger traffic statistics make the statistics obtained truly represent the number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the embodiment of the present application further provides an electronic device, including: a processor, a memory, a communication interface, and a bus;
  • the processor, the memory, and the communication interface are connected by the bus and complete communication with each other;
  • the memory stores executable program code
  • the processor by reading the executable program code stored in the memory, to run a program corresponding to the executable program code, for performing: a passenger flow provided by the embodiment of the present application
  • the statistical method of the quantity of the traffic which is provided by the embodiment of the present application, may include:
  • the specific product form of the electronic device may be a network camera or a management terminal.
  • the specific product form of the electronic device may be a network camera or a management terminal.
  • the processor of the electronic device runs a program corresponding to the executable program code by reading executable program code stored in the memory, and the program executes the traffic provided by the embodiment of the present application at runtime.
  • the statistical method can therefore be realized: it can effectively prevent the increase of the number of passengers and out-of-town passengers and the distortion of the passenger traffic statistics caused by the salespersons of the store repeatedly passing through the door, so that the obtained statistics truly represent The number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the embodiment of the present application further provides an electronic device, including: a processor, a memory, a communication interface, and a bus;
  • the processor, the memory, and the communication interface are connected by the bus and complete communication with each other;
  • the memory stores executable program code
  • the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory for performing: another statistical method for the passenger flow provided by the embodiment of the present application
  • the statistical method for the other type of traffic provided by the embodiment of the present application may include:
  • the WiFi detector Acquiring, by the WiFi detector, the first terminal identifier of the WiFi terminal device carried by the first target person, where the actual detection area of the WiFi detector covers the preset monitoring area;
  • the specific product form of the electronic device may be a network camera or a management terminal.
  • the specific product form of the electronic device may be a network camera or a management terminal.
  • the processor of the electronic device runs a program corresponding to the executable program code by reading executable program code stored in the memory, and the program executes the traffic provided by the embodiment of the present application at runtime.
  • the statistical method can therefore be realized: it can effectively prevent the increase of the number of passengers and out-of-town passengers and the distortion of the passenger traffic statistics caused by the salespersons of the store repeatedly passing through the door, so that the obtained statistics truly represent The number of customers entering and leaving. That is, with the embodiment of the present application, the purpose of further determining the personnel information of the statistician can be achieved, thereby eliminating the influence of the personnel satisfying the preset attribute condition on the statistical result, and achieving the technical effect of improving the accuracy of the statistical result.
  • the disclosed technical contents may be implemented in other manners.
  • the device embodiments described above are only schematic.
  • the division of the unit may be a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, unit or module, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • a computer readable storage medium A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .

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Abstract

一种客流量的统计方法及装置。其中，该方法包括：获取预设监控区域内的视频图像信息；对视频图像信息进行视频分析，根据分析结果确定出现在预设监控区域内的第一目标人员的运动方向，运动方向为进入无线探测器的实际探测区域的方向或从实际探测区域外出的方向，其中，实际探测区域覆盖预设监控区域；根据确定的目标人员的运动方向，统计得到实际探测区域的进入客流量或外出客流量；读取WiFi探测器探测到的第一目标人员所携带的WiFi终端设备的第一终端标识；判断第一终端标识是否在预设的非客户人员终端标识数据库中；若是，则将进入客流量或外出客流量减1；若否，则不改变进入客流量或外出客流量。

Description

客流量的统计方法及装置
本申请要求于2015年5月12日提交中国专利局、申请号为201510242960.3发明名称为“客流量的统计方法及装置”，以及于2015年6月9日递交中国专利局、申请号为201510313952.3发明名称为“客流量的统计方法及装置”的两个中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及监控摄像机领域，具体而言，涉及一种客流量的统计方法及装置。
背景技术
在相关技术中，视频客流统计网络摄像机IPC在统计进/出某个场合的客流量时，一般需要根据视频中某个人员的运动方向，判断出该人员是进入还是外出，从而可以得出某个区域的进入人次和外出人次，进而可以使用进入人次减去外出人次得到逗留人数，其中，利用该种技术所得的进入人次和外出人次的准确率基本上可以达到95％以上。
但是这种技术缺乏对人员信息的进一步确定，这样导致只要有人进入则进入人次加1，有人外出则外出人次加1，并无法识别出是谁进入或者外出。在商店的客流统计应用中，如果有商店的营业员反复从门口经过，则会造成客流统计中进入人次和外出人次不断增加，致使客流统计结果失真，即所得到的统计数与真正的客流量之间存在偏差，最终会导致商店的管理层因为获取到的客流量统计信息存在明显偏差而无法正确决策。
针对上述的问题，目前尚未提出有效的解决方案。
发明内容
本申请实施例提供了一种客流量的统计方法及装置，以至少解决由于无法进一步确定被统计人员的人员信息而造成的统计结果不准确的技术问题。
根据本申请实施例的一个方面，提供了一种客流量的统计方法，包括：获取预设监控区域内的视频图像信息；对视频图像信息进行视频分析，根据分析结果确定出现在预设监控区域内的第一目标人员的运动方向，运动方向 为进入无线探测器的实际探测区域的方向或从实际探测区域外出的方向，其中，实际探测区域覆盖预设监控区域；根据确定的目标人员的运动方向，统计得到实际探测区域的进入客流量或外出客流量；读取WiFi探测器探测到的第一目标人员所携带的WiFi终端设备的第一终端标识；判断第一终端标识是否在预设的非客户人员终端标识数据库中；若是，则将进入客流量或外出客流量减1；若否，则不改变进入客流量或外出客流量。
根据本申请实施例的一个方面，提供了一种客流量的统计方法，包括：获取预设监控区域内的视频图像信息；对视频图像信息进行视频分析，根据分析结果确定出现在预设监控区域内的第一目标人员的运动方向，运动方向包括进入或外出；通过WiFi探测器获取第一目标人员所携带的WiFi终端设备的第一终端标识，其中，WiFi探测器的实际探测区域覆盖预设监控区域；判断第一终端标识是否在预设的非客户人员终端标识数据库中，若否，则根据第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；若是，则不改变进入客流量数值或外出客流量数值。
根据本申请实施例的一个方面，提供了一种客流量的统计方法，包括：获取预设监控区域内的客流量的当前统计值，上述客流量的当前统计值为到当前时刻为止检测到的出现在上述预设监控区域内的人员的数量与检测到的从上述预设监控区域内消失的人员的数量的差值；判断检测到的出现在上述预设监控区域内的人员和检测到的从上述预设监控区域内消失的人员是否满足预设属性条件；若判断出上述检测到的出现在上述预设监控区域内的人员和上述检测到的从上述预设监控区域内消失的人员满足上述预设属性条件，则调整上述客流量的当前统计值，得到客流量的调整值；以及将上述客流量的调整值作为上述预设监控区域内的客流量的实际值。
根据本申请实施例的另一方面，还提供了一种客流量的统计装置，包括：获取单元，用于获取预设监控区域内的客流量的当前统计值，上述客流量的当前统计值为到当前时刻为止检测到的出现在上述预设监控区域内的人员的数量与检测到的从上述预设监控区域内消失的人员的数量的差值；判断单元，用于判断检测到的出现在上述预设监控区域内的人员和检测到的从上述预设监控区域内消失的人员是否满足预设属性条件；调整单元，用于在判断出上 述检测到的出现在上述预设监控区域内的人员和上述检测到的从上述预设监控区域内消失的人员满足上述预设属性条件，则调整上述客流量的当前统计值，得到客流量的调整值；以及确定单元，用于将上述客流量的调整值作为上述预设监控区域内的客流量的实际值。
本申请实施例还提供了一种客流量的统计装置，包括：
第一视频图像获取单元，用于获取预设监控区域内的视频图像信息；
第一运动方向确定单元，用于对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向为进入无线探测器的实际探测区域的方向或从所述实际探测区域外出的方向，其中，所述实际探测区域覆盖所述预设监控区域；
第一客流量统计单元，用于根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
第一终端标识读取单元，用于读取WiFi探测器探测到的所述第一目标人员所携带的WiFi终端设备的第一终端标识；
第一判断单元，用于判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，若是，则将所述进入客流量或所述外出客流量减1；若否，则不改变所述进入客流量或所述外出客流量。
本申请实施例还提供了一种客流量的统计装置，包括：
第二视频图像获取单元，用于获取预设监控区域内的视频图像信息；
第二运动方向确定单元，用于对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向包括进入或外出；
第二终端标识读取单元，用于通过WiFi探测器获取所述第一目标人员所携带的WiFi终端设备的第一终端标识，其中，所述WiFi探测器的实际探测区域覆盖所述预设监控区域；
第二判断单元，用于判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，若否，则根据所述第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；若是，则不改变所述进入客流量数值或所述外出客流量数值。
本申请实施例还提供了一种存储介质，其中，所述存储介质用于存储应用程序，所述应用程序用于在运行时执行：本申请实施例所提供的任一种客流量的统计方法。
本申请实施例还提供了一种应用程序，所述应用程序用于在运行时执行：本申请实施例所提供的任一种客流量的统计方法。本申请实施例还提供了一种电子设备，包括：处理器、存储器、通信接口和总线；所述处理器、所述存储器和所述通信接口通过所述总线连接并完成相互间的通信；所述存储器存储可执行程序代码；所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行：本申请实施例所提供的任一种客流量的统计方法。
本申请实施例所提供的任一种客流信息的统计方法，可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
在本申请实施例中，采用在网络摄像机中设置wifi探针的方式，通过获取预设监控区域内的客流量的当前统计值，客流量的当前统计值为到当前时刻为止检测到的出现在预设监控区域内的人员的数量与检测到的从预设监控区域内消失的人员的数量的差值；判断检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员是否满足预设属性条件；若判断出检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员满足预设属性条件，则调整客流量的当前统计值，得到客流量的调整值；以及将客流量的调整值作为预设监控区域内的客流量的实际值，达到了进一步确定被统计人员的人员信息的目的，从而实现了消除了的满足预设属性条件的人员对统计结果影响，达到了提高统计结果的准确度技术效果，进而解决了由于无法进一步确定被统计人员的人员信息而造成的统计结果不准确的技术问题。
附图说明
为了更清楚地说明本申请实施例和现有技术的技术方案，下面对实施例和现有技术中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是根据本申请实施例的一种可选的客流量的统计方法的流程图；
图2是根据本申请实施例的一种可选的客流量的统计方法的流程图；
图3是根据本申请实施例的一种可选的客流量的统计系统的流程图；以及
图4是根据本申请实施例的一种可选的客流量的统计装置的示意图。
具体实施方式
为使本申请的目的、技术方案、及优点更加清楚明白，以下参照附图并举实施例，对本申请进一步详细说明。显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
需要说明的是，本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
实施例1
根据本申请实施例，提供了一种客流量的统计方法的方法实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
本申请实施例中，WiFi探测器是指可以探测到WiFi信号的器件或模块，例如WiFi探针。WiFi终端设备具体可以为设置有WiFi模块的移动终端，该WiFi模块可以为用户侧的WiFi模块，如移动终端、笔记本、平板电脑等使用的通用WiFi模块。基于此WiFi模块，WiFi终端设备周期性的发送WiFi信号，且该WiFi信号中会携带本WiFi终端设备的唯一标识信息。
图1是本申请实施例的一种可选的客流量的统计方法的流程图，如图1所示，该方法包括如下步骤：
步骤S101，获取预设监控区域内的视频图像信息。
步骤S103，对视频图像信息进行视频分析，根据分析结果确定出现在预设监控区域内的第一目标人员的运动方向，运动方向为进入无线探测器的实际探测区域的方向或从实际探测区域外出的方向，其中，实际探测区域覆盖预设监控区域。
步骤S105，根据确定的第一目标人员的运动方向，统计得到实际探测区域的进入客流量或外出客流量。
此处需要说明的是，本申请上述步骤S101至步骤S105的一种可选实施方案中，可以通过网络摄像机IPC的纯视频技术来对预设监控区域内的客流量进行监控和统计，得到当前预设监控区域的客流统计值，该客流统计值即为进入客流量或外出客流量。其中，IPC可以包括：视频采集模块和DSP运算模块，视频采集模块用于获取预设监控区域内的实时视频的视频图像信息，并可以对视频图像信息进行加亮以提高对比度等简单图像处理，以提高画面的清晰度，提高对人员的检测精度；DSP运算模块用于对采集到的视频图像信息进行模式识别，识别出视频中出现的所有人员(可以是任意一个第一目标人员)以及这些人员的运动方向，并根据他们的运动方向确定其是进入预设区域还是从预设区域出来。
步骤S107，读取WiFi探测器探测到的第一目标人员所携带的WiFi终端设备的第一终端标识。本申请实施例中WiFi终端设备的终端标识不限于该WiFi终端设备的MAC地址、IP地址、出厂序列号的唯一标识该WiFi终端设备的数据。WiFi探测器可以为内置在网络摄像机的WiFi探测器，也可以为与网络摄像机分离部署的WiFi探测器。
此处需要说明的是，本申请提供的一种可选方案中，在网络摄像机IPC监控并统计客流量的同时，与该网络摄像机IPC关联的WiFi探测器同时探测进入该实际探测区域的目标人员所携带的WiFi终端设备的信息，从而进一步排除不合理的客流量统计结果。
步骤S109，判断第一终端标识是否在预设的非客户人员终端标识数据库中。
步骤S111，若是，则将进入客流量或外出客流量减1。
步骤S113，若否，则不改变进入客流量或外出客流量。
以下以设置在某商店门口的IPC为例，详细阐述上述步骤：
实施时，该IPC可以通过视频客流统计方式，使用视频模式识别进行智能分析，统计人员进出预设监控区域的数量，即获取商店内的客流量的当前统计值，其中，商店内的客流量的当前统计值为到当前时刻为止检测到的出现在该商店内的顾客的数量与检测到的从商店出来的顾客的数量的差值；进一步，IPC判断检测到的出现在商店内的人员和检测到的从商店出来的顾客是否是本商店的营业员；若是本商店的营业员，则调整客流量的当前统计值，得到客流量的调整值，具体地，在当前统计值的基础上减1即为客流量的调整值；以及将客流量的调整值作为本商店的客流量的实际值，并将该实际值上传至后台服务器。需要说明的是，以设置在某商店门口的IPC为例，实施时，IPC可以统计得到实际探测区域的进入客流量或外出客流量，进一步，IPC判断检测到的出现在商店内的人员和检测到的从商店出来的顾客是否是本商店的营业员，如果检测到的出现在商店内的人员(即人员的运动方向为进入无线探测器的实际探测区域的方向)是本商店的营业员，则将进入客流量减1，否则，不改变进入客流量；而如果检测到的从商店出来的人员(即人员的运动方向为从所述实际探测区域外出的方向)是本商店的营业员，则将外出客流量减1，否则，不改变外出客流量。
通过上述步骤，由于可以对预设监控区域内带来客流量的人员信息做进一步确定，不仅可以在有人进入时对进入人数加1，有人外出时对外出人数加1，而且可以识别出是谁进出该预设区域。尤其在商店的客流量统计应用中，
例如，WiFi探测器可以是wifi探针，其硬件模块可以包括：通信模块， 用于向预设区域提供网络接入功能，接收管理终端下发的手机MAC白名单信息等，以及上传客流统计数据和视频图像数据；wifi探测模块，用于实时感知探测是否有手机MAC地址等出现，具体地，可以对区域覆盖门口及商店内部进行感知；存储模块，用于存储手机MAC白名单信息等和存储一段时间内的客流量统计数据。需要说明的是，上述白名单可以为预先记录了wifi设备的MAC地址信息的列表。
通过本申请实施例，采用无线感知手段和视频获取判断手段相结合的方式，对商店等预设监控区域内人员的进入人次和外出人次进行调节，并将满足预设属性条件(如营业员等)的进入人次和外出人次剔除，达到了确保获取到的客流量的统计值的真实可靠的效果。
由此可知，使用本申请，可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
一种可选实施例中，本申请可以通过网络摄像机来执行上述步骤S101至步骤S113。另外一种可选实施例中，本申请可以通过服务器来执行上述步骤S101至步骤S113。需要强调的是，该服务器可以为后台服务器也可以为管理终端。
优选地，上述WiFi探测器可以设置在网络摄像机中，或者WiFi探测器也可以独立于网络摄像机之外。
一种可选实施例中，在运动方向为从实际探测区域外出的方向时，在相应将外出客流量减1之前，上述方法还可以包括：判断WiFi探测器检测第一终端标识从实际探测区域中消失的时间长度是否达到预设值，其中，若是，则执行相应将外出客流量减1的步骤。
优选地，本申请上述实施例中的无线探测器可以包括以下设备之一：wifi探针、RFID(Radio Frequency Identification，无线射频识别)设备、NFC(Near Field Communication，近场通信)设备、以及基于433/866协议的通信设备。 优选地，其可以是带有wifi探针的IPC。这样，既可以通过视频技术对客流量进行技术，又可以通过wifi探针对携带有具有wifi模块的设备的人员进行人份识别以调整客流量的当前统计值。需要强调的是，无线探测器可以与探测得到该第一目标人员所携带的WiFi终端设备的第一终端标识的WiFi探测器是同一设备，例如：WiFi探针；当然，无线探测器可以与探测得到该第一目标人员所携带的WiFi终端设备的第一终端标识的WiFi探测器是不同的设备。一种可选的应用场景中，如果出现目标人员出入该实际探测区域过于频繁，那么该目标人员出入该实际探测区域的统计结果是存在冗余的，为了删除冗余数据，本申请在统计得到实际探测区域的进入客流量或外出客流量之后，还提供了一种删除冗余出入次数的方案，可以通过如下步骤实现：
首先，读取第一目标人员在预定时间段内进入实际探测区域的进入次数或走出实际探测区域的外出次数。该步骤可以确定目标人员出入该实际探测区域的频率。
然后，判断进入实际探测区域的进入次数或走出实际探测区域的外出次数是否超过预设阈值。
若是，则将进入客流量减去进入次数，得到实际的进入客流量，或将外出客流量减去外出次数，得到实际的外出客流量；
若否，则不改变进入客流量或外出客流量。
通过上述方案可以去除冗余的客流量。
以下以设置在某商店门口的IPC为例，并结合图2详细阐述本申请：
具体地，可以在商家的管理终端202上对商店内所有营业员的终端204(如手机等)进行登记，如果一个营业员有多部终端同时使用，则这些终端需要全部登记，实施时，要求这些营业员在上班时间内必须保持他们所携带的WiFi终端设备204处于wifi开启状态。
另外，具有wifi探针的网络摄像机206可以通过商家的管理终端202将所有已经登记的营业员的终端204的信息下载到自身的内存中，进一步，IPC可以将这些信息作为白名单保存在内存中。当有人员进出商店时，具有wifi探针的网络摄像机206可以通过纯视频分析手段确定该人员是进入或者外出，从而计算出进入人次和外出的人次。而若是商店的营业员进入或者外出，同 样，具有wifi探针的网络摄像机206也会认为有人员进入或者外出，并且在具有wifi探针的网络摄像机206认为有人员进入时，将进入人次加1，在具有wifi探针的网络摄像机206认为有人员外出时，将外出人次加1。
使用时，具有wifi探针的网络摄像机206可以架设在商店门口，商家的管理终端202架设在机房或者商店内。商店的管理终端202上安装有软件平台，可以对营业员的基本信息进行管理，同时可以录入营业员的终端204(如手机)的MAC地址信息，并且能将这些MAC地址信息下载更新至具有wifi探针的网络摄像机206中。具有wifi探针的网络摄像机206可以通过视频进行模式识别，分析出人员的运动方向，判断出是进入还是外出，从而更新商店当前的进入人次和外出人次。同时，该网络摄像机206也可以检测到所有出现的终端的MAC地址信息，根据检测到的MAC地址信息，到网络摄像机206内部的白名单列表中去匹配，如果检索到该MAC信息属于白名单列表，则认为是营业员进入或者外出，进而对通过视频分析统计得到的进入人次和外出人次进行调节。
由于营业员的终端204的wifi被要求保持开启状态，因此，在营业员进入商店时，具有wifi探针的网络摄像机206会检测到一个终端的MAC地址出现，并且这个终端的MAC地址包含在具有wifi探针的网络摄像机206的白名单列表中，也即具有wifi探针的网络摄像机206可以根据白名单列表判断出当前是一个营业员进入了商店，因此具有wifi探针的网络摄像机206会认为当前的进入人次不应该计数，从而对进入人次进行调整，将视频分析统计的进入人次减1；同理，如果具有wifi探针的网络摄像机206新检测到一个终端的MAC地址出现，但是该MAC地址并不属于上述白名单列表，具有wifi探针的网络摄像机206会认为当前的进入人次应该计数，从而不对进入人次进行调整。
同样，当人员外出时，具有wifi探针的网络摄像机206采用视频分析手段会将外出人次加1，如果同时发现之前能检测到的营业员的终端204的MAC地址在最近的一段时间内(如10秒钟内)一直检测不到，则认为是一个营业员外出，对外出人次进行调整，即外出人次减1。具有wifi探针的网络摄像机206及时的将调整后的客流量的实际值上传至后台服务器或者管理终端。
通过本申请实施例，能够将商店内营业员的进出计数去除，从而得出基本准确的纯顾客进出商店的次数，使得统计结果更加真实有效。
另外，前述的网络摄像机IPC可以为wifi探针IPC，即融合wifi探针技术的网络摄像机，具备提供无线信号侦测与采集、视频采集、视频分析、目标计数、网络传输的设备，它包括：wifi探针。wifi探针可以检测到wifi设备的MAC地址信息。
此处需要说明的是，本申请还可以提供一种客流量的统计方法，该方法的实施步骤可以如下：
获取预设监控区域内的视频图像信息；对视频图像信息进行视频分析，根据分析结果确定出现在预设监控区域内的第一目标人员的运动方向，运动方向包括进入或外出；通过WiFi探测器获取第一目标人员所携带的WiFi终端设备的第一终端标识，其中，WiFi探测器的实际探测区域覆盖预设监控区域；判断第一终端标识是否在预设的非客户人员终端标识数据库中，若否，则根据第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；若是，则不改变进入客流量数值或外出客流量数值。
其中，本申请所提供的该另一种客流量的统计方法中各个步骤的具体实现方式，可以参照本申请所提供的第一种客流量的统计方法；另外，本申请所提供的第一种客流量的统计方法中的优选步骤，也可以适用于该另一种客流量的统计方法。可见，通过该另一种客流量的统计方法可以可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
实施例2
根据本申请实施例，提供了一种客流量的统计方法的方法实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
图3是本申请实施例的一种可选的客流量的统计方法的流程图，如图3所示，该方法包括如下步骤：
步骤S202，获取预设监控区域内的客流量的当前统计值，客流量的当前统计值为到当前时刻为止检测到的出现在预设监控区域内的人员的数量与检测到的从预设监控区域内消失的人员的数量的差值；
步骤S204，判断检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员是否满足预设属性条件；
步骤S206，若判断出检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员满足预设属性条件，则调整客流量的当前统计值，得到客流量的调整值；以及
步骤S208，将客流量的调整值作为预设监控区域内的客流量的实际值。
实施时，可以通过网络摄像机IPC的纯视频技术获取预设监控区域内的客流量的当前统计值，其中，IPC包括：视频采集模块和DSP运算模块，视频采集模块用于获取预设监控区域内的实时视频，并对实时视频进行加亮以提高对比度等简单图像处理，以提高画面的清晰度，提高对人员的检测精度；DSP运算模块用于对采集到的实时视频进行模式识别，识别出视频中出现的所有人员以及这些人员的运动方向，并根据他们的运动方向确定其是进入预设区域还是从预设区域出来。
以下以设置在某商店门口的IPC为例，详细阐述本申请：
实施时，该IPC可以通过视频客流统计方式，使用视频模式识别进行智能分析，统计人员进出预设区域的数量，即获取商店内的客流量的当前统计值，其中，商店内的客流量的当前统计值为到当前时刻为止检测到的出现在该商店内的顾客的数量与检测到的从商店出来的顾客的数量的差值；进一步，IPC判断检测到的出现在商店内的人员和检测到的从商店出来的顾客是否是本商店的营业员；若是本商店的营业员，则调整客流量的当前统计值，得到客流量的调整值，具体地，在当前统计值的基础上减1即为客流量的调整值；以及将客流量的调整值作为本商店的客流量的实际值，并将该实际值上传至后台服务器。
通过上述步骤，由于可以对预设监控区域内带来客流量的人员信息做进 一步确定，不仅可以在有人进入时对进入人数加1，有人外出时对外出人数加1，而且可以识别出是谁进出该预设区域。尤其在商店的客流量统计应用中，使用本申请，可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了的满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
可选地，可以通过以下步骤判断检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员是否满足预设属性条件：
S2，判断所述检测到的出现在预设监控区域内的人员所携带的WiFi终端设备和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备是否是预设终端，其中，若判断出所述检测到的出现在预设监控区域内的人员所携带的WiFi终端设备和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备是预设终端，则表明检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员满足预设属性条件，若判断出所述检测到的出现在预设监控区域内的人员所携带的WiFi终端设备和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备不是预设终端，则表明检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员不满足预设属性条件。
具体地，可以将满足预设属性条件的人员的终端作为预设终端，并将这些预设终端的信息登记到上述预设区域的管理终端上，实施时，可以将这些预设终端的信息从管理终端下载至IPC上。
通过本申请实施例，可以通过确定出入预设区域的人员随身携带的WiFi终端设备是否为已经被预先登记的预设终端来确定人员是否为满足预设属性条件的人员，达到了便于识别的目的。
可选地，判断所述检测到的出现在预设监控区域内的人员所携带的WiFi终端设备和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备是否是预设终端包括：
S4，判断所述检测到的出现在预设监控区域内的人员所携带的WiFi终端 设备的地址信息和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备的地址信息是否是预设地址信息。
具体地，可以将满足预设属性条件的人员的终端作为预设终端，并将这些预设终端的地址信息(如MAC地址信息)录入上述预设区域的管理终端上，实施时，可以将这些预设终端的地址信息(如MAC地址信息)从管理终端下载至IPC上。
通过本申请实施例，由于检测终端的地址信息(如MAC地址信息)易于操作，因此通过确定出入预设区域的人员随身携带的终端的地址信息是否为已经被预先录入的预设终端的地址信息来确定人员是否为满足预设属性条件的人员，达到了简单易操作的目的。
可选地，检测检测到的出现在预设监控区域内的人员所携带的WiFi终端设备的地址信息和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备的地址信息是否是预设地址信息包括：
S6，通过WiFi探测器判断检测到的出现在预设监控区域内的人员所携带的WiFi终端设备的地址信息和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备的地址信息是否是预设地址信息。
例如，WiFi探测器可以是wifi探针，其硬件模块可以包括：通信模块，用于向预设区域提供网络接入功能，接收管理终端下发的手机MAC白名单信息等，以及上传客流统计数据和视频图像数据；wifi探测模块，用于实时感知探测是否有手机MAC地址等出现，具体地，可以对区域覆盖门口及商店内部进行感知；存储模块，用于存储手机MAC白名单信息等和存储一段时间内的客流量统计数据。需要说明的是，上述白名单可以为预先记录了wifi设备的MAC地址信息的列表。
通过本申请实施例，采用无线感知手段和视频获取判断手段相结合的方式，对商店等预设监控区域内人员的进入人次和外出人次进行调节，并将满足预设属性条件(如营业员等)的进入人次和外出人次剔除，达到了确保获取到的客流量的统计值的真实可靠的效果。
可选地，WiFi探测器可以包括以下装置之一：带有wifi探针的通信装置、RFID通信装置、NFC通信装置以及基于433/866协议的通信装置。优选地， 其可以是带有wifi探针的IPC。这样，既可以通过视频技术对客流量进行技术，又可以通过wifi探针对携带有具有wifi模块的设备的人员进行人份识别以调整客流量的当前统计值。
可选地，获取预设监控区域内的客流量的当前统计值可以包括：
S8，获取预设区域的视频图像；
S10，根据获取的预设区域的视频图像确定预设监控区域内各人员的运动方向；
S12，根据确定的预设监控区域内各人员的运动方向确定出现在预设监控区域内的人员的数量和从预设监控区域内消失的人员的数量；以及
S14，根据确定的出现在预设监控区域内的人员的数量和从预设监控区域内消失的人员的数量计算客流量的当前统计值。
以下以设置在某商店门口的IPC为例，并结合图2详细阐述本申请：
具体地，可以在商家的管理终端202上对商店内所有营业员的终端204(如手机等)进行登记，如果一个营业员有多部终端同时使用，则这些终端需要全部登记，实施时，要求这些营业员在上班时间内必须保持他们所携带的WiFi终端设备204处于wifi开启状态。
另外，具有wifi探针的网络摄像机206可以通过商家的管理终端202将所有已经登记的营业员的终端204的信息下载到自身的内存中，进一步，IPC可以将这些信息作为白名单保存在内存中。当有人员进出商店时，具有wifi探针的网络摄像机206可以通过纯视频分析手段确定该人员是进入或者外出，从而计算出进入人次和外出的人次。而若是商店的营业员进入或者外出，同样，具有wifi探针的网络摄像机206也会认为有人员进入或者外出，并且在具有wifi探针的网络摄像机206认为有人员进入时，将进入人次加1，在具有wifi探针的网络摄像机206认为有人员外出时，将外出人次加1。
使用时，具有wifi探针的网络摄像机206可以架设在商店门口，商家的管理终端202架设在机房或者商店内。商店的管理终端202上安装有软件平台，可以对营业员的基本信息进行管理，同时可以录入营业员的终端204(如手机)的MAC地址信息，并且能将这些MAC地址信息下载更新至具有wifi探针的网络摄像机206中。具有wifi探针的网络摄像机206可以通过视频进 行模式识别，分析出人员的运动方向，判断出是进入还是外出，从而更新商店当前的进入人次和外出人次。同时，该设备也可以检测到所有出现的终端的MAC地址信息，根据检测到的MAC地址信息，到设备内部的白名单列表中去匹配，如果检索到该MAC信息属于白名单列表，则认为是营业员进入或者外出，进而对通过视频分析统计得到的进入人次和外出人次进行调节。
由于营业员的终端204的wifi被要求保持开启状态，因此，在营业员进入商店时，具有wifi探针的网络摄像机206会检测到一个终端的MAC地址出现，并且这个终端的MAC地址包含在具有wifi探针的网络摄像机206的白名单列表中，也即具有wifi探针的网络摄像机206可以根据白名单列表判断出当前是一个营业员进入了商店，因此具有wifi探针的网络摄像机206会认为当前的进入人次不应该计数，从而对进入人次进行调整，将视频分析统计的进入人次减1；同理，如果具有wifi探针的网络摄像机206新检测到一个终端的MAC地址出现，但是该MAC地址并不属于上述白名单列表，具有wifi探针的网络摄像机206会认为当前的进入人次应该计数，从而不对进入人次进行调整。
同样，当人员外出时，具有wifi探针的网络摄像机206采用视频分析手段会将外出人次加1，如果同时发现之前能检测到的营业员的终端204的MAC地址在最近的一段时间内(如10秒钟内)一直检测不到，则认为是一个营业员外出，对外出人次进行调整，即外出人次减1。具有wifi探针的网络摄像机206及时的将调整后的客流量的实际值上传至后台服务器或者管理终端。
需要强调的是，以设置在某商店门口的IPC为例并结合图2，实施时，具有wifi探针的网络摄像机206可以通过视频客流统计方式，使用视频模式识别进行智能分析，统计人员进出预设监控区域的数量，即获取商店内的客流量的当前统计值，其中，商店内的客流量的当前统计值为到当前时刻为止检测到的出现在该商店内的顾客的数量与检测到的从商店出来的顾客的数量的差值；进一步，该具有wifi探针的网络摄像机206判断检测到的出现在商店内的人员和检测到的从商店出来的顾客是否是本商店的营业员；若是本商店的营业员，则调整客流量的当前统计值，得到客流量的调整值，具体地，在当前统计值的基础上减1即为客流量的调整值；以及将客流量的调整值作为 本商店的客流量的实际值，并将该实际值上传至后台服务器。
通过本申请实施例，能够将商店内营业员的进出计数去除，从而得出基本准确的纯顾客进出商店的次数，使得统计结果更加真实有效。
另外，前述的网络摄像机IPC可以为wifi探针IPC，即融合wifi探针技术的网络摄像机，具备提供无线信号侦测与采集、视频采集、视频分析、目标计数、网络传输的设备，它包括：wifi探针。wifi探针可以检测到wifi设备的MAC地址信息。
实施例3
根据本申请实施例，提供了一种客流量的统计装置的装置实施例。
图4是根据本申请实施例的一种可选的客流量的统计装置的示意图。如图4所示，该装置包括：获取单元302、判断单元304、调整单元306和确定单元308。获取单元302用于获取预设监控区域内的客流量的当前统计值，客流量的当前统计值为到当前时刻为止检测到的出现在预设监控区域内的人员的数量与检测到的从预设监控区域内消失的人员的数量的差值；判断单元304用于判断检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员是否满足预设属性条件；调整单元306用于在判断出检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员满足预设属性条件，则调整客流量的当前统计值，得到客流量的调整值；以及确定单元308用于将客流量的调整值作为预设监控区域内的客流量的实际值。
以下以设置在某商店门口的IPC为例，详细阐述本申请：
实施时，该IPC可以通过视频客流统计方式，使用视频模式识别进行智能分析，统计人员进出预设区域的数量，即获取商店内的客流量的当前统计值，其中，商店内的客流量的当前统计值为到当前时刻为止检测到的出现在该商店内的顾客的数量与检测到的从商店出来的顾客的数量的差值；进一步，IPC判断检测到的出现在商店内的人员和检测到的从商店出来的顾客是否是本商店的营业员；若是本商店的营业员，则调整客流量的当前统计值，得到客流量的调整值，具体地，在当前统计值的基础上减1即为客流量的调整值；以及将客流量的调整值作为本商店的客流量的实际值，并将该实际值上传至后台服务器。
通过本申请实施例，由于可以对预设监控区域内带来客流量的人员信息做进一步确定，不仅可以在有人进入时对进入人数加1，有人外出时对外出人数加1，而且可以识别出是谁进出该预设区域。尤其在商店的客流量统计应用中，使用本申请，可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了的满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
可选地，判断单元还用于通过以下功能模块判断判断检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员是否满足预设属性条件：检测模块，用于判断检测到的出现在预设监控区域内的人员所携带的WiFi终端设备和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备是否是预设终端，在判断出所检测到的出现在预设监控区域内的人员所携带的WiFi终端设备和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备是预设终端时，表明检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员满足预设属性条件，在判断出所检测到的出现在预设监控区域内的人员所携带的WiFi终端设备和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备不是预设终端时，表明检测到的出现在预设监控区域内的人员和检测到的从预设监控区域内消失的人员不满足预设属性条件。
具体地，可以将满足预设属性条件的人员的终端作为预设终端，并将这些预设终端的信息登记到上述预设区域的管理终端上，实施时，可以将这些预设终端的信息从管理终端下载至IPC上。
通过本申请实施例，可以通过确定出入预设区域的人员随身携带的终端是否为已经被预先登记的预设终端来确定人员是否为满足预设属性条件的人员，达到了便于识别的目的。
可选地，检测模块还用于判断检测到的出现在预设监控区域内的人员所携带的WiFi终端设备的地址信息和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备的地址信息是否是预设地址信息。
具体地，可以将满足预设属性条件的人员的终端作为预设终端，并将这些预设终端的地址信息(如MAC地址信息)录入上述预设区域的管理终端上，实施时，可以将这些预设终端的地址信息(如MAC地址信息)从管理终端下载至IPC上。
通过本申请实施例，由于检测终端的地址信息(如MAC地址信息)易于操作，因此通过确定出入预设区域的人员随身携带的终端的地址信息是否为已经被预先录入的预设终端的地址信息来确定人员是否为满足预设属性条件的人员，达到了简单易操作的目的。
可选地，检测模块还用于通过WiFi探测器判断检测到的出现在预设监控区域内的人员所携带的WiFi终端设备的地址信息和检测到的从预设监控区域内消失的人员所携带的WiFi终端设备的地址信息是否是预设地址信息。
例如，WiFi探测器可以是wifi探针，其硬件模块可以包括：通信模块，用于向预设区域提供网络接入功能，接收管理终端下发的手机MAC白名单信息等，以及上传客流统计数据和视频图像数据；wifi探测模块，用于实时感知探测是否有手机MAC地址等出现，具体地，可以对区域覆盖门口及商店内部进行感知；存储模块，用于存储手机MAC白名单信息等和存储一段时间内的客流量统计数据。需要说明的是，上述白名单可以为预先记录了wifi设备的MAC地址信息的列表。
通过本申请实施例，采用无线感知手段和视频获取判断手段相结合的方式，对商店等预设监控区域内人员的进入人次和外出人次进行调节，并将满足预设属性条件(如营业员等)的进入人次和外出人次剔除，达到了确保获取到的客流量的统计值的真实可靠的效果。
可选地，上述获取单元可以包括：获取模块、第一确定模块、第二确定模块和计算模块。获取模块，用于获取预设区域的视频图像；第一确定模块，用于根据获取的预设区域的视频图像确定预设监控区域内各人员的运动方向；第二确定模块，用于根据确定的预设监控区域内各人员的运动方向确定出现在预设监控区域内的人员的数量和从预设监控区域内消失的人员的数量；以及计算模块，用于根据确定的出现在预设监控区域内的人员的数量和从预设监控区域内消失的人员的数量计算客流量的当前统计值。
相应于上述方法实施例，本申请实施例提供了一种客流量的统计装置，包括：
第一视频图像获取单元，用于获取预设监控区域内的视频图像信息；
第一运动方向确定单元，用于对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向为进入无线探测器的实际探测区域的方向或从所述实际探测区域外出的方向，其中，所述实际探测区域覆盖所述预设监控区域；
第一客流量统计单元，用于根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
第一终端标识读取单元，用于读取WiFi探测器探测到的所述第一目标人员所携带的WiFi终端设备的第一终端标识；
第一判断单元，用于判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，若是，则将所述进入客流量或所述外出客流量减1；若否，则不改变所述进入客流量或所述外出客流量。
需要说明的是，本实施例中的客流量的统计装置所包括的第一视频图像获取单元、第一运动方向确定单元、第一客流量统计单元、第一终端标识读取单元和第一判断单元可以均为运行于网络摄像机的单元，也可以均为运行于管理终端内的单元；当然，本实施例中的客流量的统计装置所包括的各个模块也可以运行于不同的设备中，例如：第一视频图像获取单元可以运行于网络摄像机中，其余单元可以运行于管理终端；或者，第一视频图像获取单元、第一运动方向确定单元和第一客流量统计单元可以运行于网络摄像机中，而其余单元可以运行于管理终端中，等等。
本实施例所提供的一种客流量的统计装置，可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
相应于上述方法实施例，本申请实施例还提供了一种客流量的统计装置， 包括：
第二视频图像获取单元，用于获取预设监控区域内的视频图像信息；
第二运动方向确定单元，用于对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向包括进入或外出；
第二终端标识读取单元，用于通过WiFi探测器获取所述第一目标人员所携带的WiFi终端设备的第一终端标识，其中，所述WiFi探测器的实际探测区域覆盖所述预设监控区域；
第二判断单元，用于判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，若否，则根据所述第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；若是，则不改变所述进入客流量数值或所述外出客流量数值。
需要说明的是，本实施例中的客流量的统计装置所包括的第二视频图像获取单元、第二运动方向确定单元、第二终端标识读取单元和第二判断单元可以均为运行于网络摄像机的单元，也可以均为运行于管理终端内的单元；当然，本实施例中的客流量的统计装置所包括的各个模块也可以运行于不同的设备中，例如：第二视频图像获取单元可以运行于网络摄像机中，其余单元可以运行于管理终端；或者，第二视频图像获取单元和第二运动方向确定单元可以运行于网络摄像机中，而其余单元可以运行于管理终端中，等等。
本实施例所提供的一种客流信息的统计装置，可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
相应于上述方法实施例，本申请实施例还提供了一种存储介质，用于存储应用程序，所述应用程序用于在运行时执行：本申请实施例所提供的一种客流量的统计方法；具体的，本申请实施例所提供的一种客流量的统计方法，可以包括：
获取预设监控区域内的视频图像信息；
对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向为进入无线探测器的实际探测区域的方向或从所述实际探测区域外出的方向，其中，所述实际探测区域覆盖所述预设监控区域；
根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
读取WiFi探测器探测到的所述第一目标人员所携带的WiFi终端设备的第一终端标识；
判断所述第一终端标识是否在预设的非客户人员终端标识数据库中；
若是，则将所述进入客流量或所述外出客流量减1；
若否，则不改变所述进入客流量或所述外出客流量。
本实施例中，存储介质存储有在运行时执行本申请实施例所提供的客流量的统计方法的应用程序，因此能够实现：可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
相应于上述方法实施例，本申请实施例还提供了一种存储介质，用于存储应用程序，所述应用程序用于在运行时执行：本申请实施例所提供的另一种客流量的统计方法；具体的，本申请实施例所提供的该另一种客流量的统计方法，可以包括：
获取预设监控区域内的视频图像信息；
对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向包括进入或外出；
通过WiFi探测器获取所述第一目标人员所携带的WiFi终端设备的第一终端标识，其中，所述WiFi探测器的实际探测区域覆盖所述预设监控区域；
判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，
若否，则根据所述第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；
若是，则不改变所述进入客流量数值或所述外出客流量数值。
本实施例中，存储介质存储有在运行时执行本申请实施例所提供的客流量的统计方法的应用程序，因此能够实现：可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
相应于上述方法实施例，本申请实施例还提供了一种应用程序，用于在运行时执行：本申请实施例所提供的一种客流量的统计方法；具体的，本申请实施例所提供的一种客流量的统计方法，可以包括：
获取预设监控区域内的视频图像信息；
对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向为进入无线探测器的实际探测区域的方向或从所述实际探测区域外出的方向，其中，所述实际探测区域覆盖所述预设监控区域；
根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
读取WiFi探测器探测到的所述第一目标人员所携带的WiFi终端设备的第一终端标识；
判断所述第一终端标识是否在预设的非客户人员终端标识数据库中；
若是，则将所述进入客流量或所述外出客流量减1；
若否，则不改变所述进入客流量或所述外出客流量。
本实施例中，应用程序在运行时执行本申请实施例所提供的客流量的统计方法，因此能够实现：可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申 请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
相应于上述方法实施例，本申请实施例还提供了一种应用程序，用于在运行时执行：本申请实施例所提供的另一种客流量的统计方法；具体的，本申请实施例所提供的该另一种客流量的统计方法，可以包括：
获取预设监控区域内的视频图像信息；
对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向包括进入或外出；
通过WiFi探测器获取所述第一目标人员所携带的WiFi终端设备的第一终端标识，其中，所述WiFi探测器的实际探测区域覆盖所述预设监控区域；
判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，
若否，则根据所述第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；
若是，则不改变所述进入客流量数值或所述外出客流量数值。
本实施例中，应用程序在运行时执行本申请实施例所提供的客流量的统计方法，因此能够实现：可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
相应于上述方法实施例，本申请实施例还提供了一种电子设备，包括：处理器、存储器、通信接口和总线；
所述处理器、所述存储器和所述通信接口通过所述总线连接并完成相互间的通信；
所述存储器存储可执行程序代码；
所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行：本申请实施例所提供的一种客流 量的统计方法；具体的，本申请实施例所提供的一种客流量的统计方法，可以包括：
获取预设监控区域内的视频图像信息；
对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向为进入无线探测器的实际探测区域的方向或从所述实际探测区域外出的方向，其中，所述实际探测区域覆盖所述预设监控区域；
根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
读取WiFi探测器探测到的所述第一目标人员所携带的WiFi终端设备的第一终端标识；
判断所述第一终端标识是否在预设的非客户人员终端标识数据库中；
若是，则将所述进入客流量或所述外出客流量减1；
若否，则不改变所述进入客流量或所述外出客流量。
需要说明的是，该电子设备的具体产品形态可以为网络摄像机或管理终终端，当然并不局限于此，任何能够实现上述功能步骤的设备以及设备的结合均是可行的。
本实施例中，该电子设备的处理器通过读取存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，该程序在运行时执行本申请实施例所提供的客流量的统计方法，因此能够实现：可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
相应于上述方法实施例，本申请实施例还提供了一种电子设备，包括：处理器、存储器、通信接口和总线；
所述处理器、所述存储器和所述通信接口通过所述总线连接并完成相互间的通信；
所述存储器存储可执行程序代码；
所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行：本申请实施例所提供的另一种客流量的统计方法；具体的，本申请实施例所提供的该另一种客流量的统计方法，可以包括：
获取预设监控区域内的视频图像信息；
对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向包括进入或外出；
通过WiFi探测器获取所述第一目标人员所携带的WiFi终端设备的第一终端标识，其中，所述WiFi探测器的实际探测区域覆盖所述预设监控区域；
判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，
若否，则根据所述第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；
若是，则不改变所述进入客流量数值或所述外出客流量数值。
需要说明的是，该电子设备的具体产品形态可以为网络摄像机或管理终终端，当然并不局限于此，任何能够实现上述功能步骤的设备以及设备的结合均是可行的。
本实施例中，该电子设备的处理器通过读取存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，该程序在运行时执行本申请实施例所提供的客流量的统计方法，因此能够实现：可以有效地防止由于商店的营业员反复经过门口而造成的客流量统计的进入人次和外出人次不断增加以及客流量统计结果失真等情况，使得所得到的统计数字真正表示顾客的进出数量。也即，通过本申请实施例，可以达到进一步确定被统计人员的人员信息的目的，从而实现消除了满足预设属性条件的人员对统计结果影响，达到提高统计结果的准确度技术效果。
另外，需要强调的是，对于电子设备、应用程序以及存储介质实施例而言，由于其所涉及的方法内容基本相似于前述的方法实施例，所以描述的比较简单，相关之处参见方法实施例的部分说明即可。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
在本申请的上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的技术内容，可通过其它的方式实现。其中，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，可以为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，单元或模块的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅为本申请的较佳实施例而已，并不用以限制本申请，凡在本申请的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本申请保护的范围之内。

Claims (13)

  1. 一种客流量的统计方法，其特征在于，包括：
    获取预设监控区域内的视频图像信息；
    对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向为进入无线探测器的实际探测区域的方向或从所述实际探测区域外出的方向，其中，所述实际探测区域覆盖所述预设监控区域；
    根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
    读取WiFi探测器探测到的所述第一目标人员所携带的WiFi终端设备的第一终端标识；
    判断所述第一终端标识是否在预设的非客户人员终端标识数据库中；
    若是，则将所述进入客流量或所述外出客流量减1；
    若否，则不改变所述进入客流量或所述外出客流量。
  2. 根据权利要求1所述的方法，其特征在于，
    通过网络摄像机获取所述预设监控区域内的视频图像信息；
    所述网络摄像机对所述视频图像信息进行视频分析，根据所述分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向；
    所述网络摄像机根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
    所述网络摄像机判断所述第一终端标识是否在所述预设的非客户人员终端标识数据库中；
    若是，则所述网络摄像机将所述进入客流量或所述外出客流量减1；
    若否，则所述网络摄像机不改变所述进入客流量或所述外出客流量。
  3. 根据权利要求2所述的方法，其特征在于，所述WiFi探测器设置在所述网络摄像机中，或者所述WiFi探测器独立于所述网络摄像机之外。
  4. 根据权利要求1所述的方法，其特征在于，
    通过管理终端获取所述预设监控区域内的视频图像信息；
    所述管理终端对所述视频图像信息进行视频分析，根据所述分析结果确 定出现在所述预设监控区域内的第一目标人员的运动方向；
    所述管理终端根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
    所述管理终端判断所述第一终端标识是否在所述预设的非客户人员终端标识数据库中；
    若是，则所述管理终端将所述进入客流量或所述外出客流量减1；
    若否，则所述管理终端不改变所述进入客流量或所述外出客流量。
  5. 根据权利要求1所述的方法，其特征在于，所述WiFi终端设备的第一终端标识为MAC地址信息。
  6. 根据权利要求1所述的方法，其特征在于，在所述运动方向为从所述实际探测区域外出的方向时，在相应将所述外出客流量减1之前，所述方法还包括：
    判断所述WiFi探测器检测所述第一终端标识从所述实际探测区域中消失的时间长度是否达到预设值，
    若是，则执行相应将所述外出客流量减1的步骤。
  7. 根据权利要求1所述的方法，其特征在于，在统计得到所述实际探测区域的进入客流量或外出客流量之后，所述方法还包括：
    读取所述第一目标人员在预定时间段内进入所述实际探测区域的进入次数或走出所述实际探测区域的外出次数；
    判断进入所述实际探测区域的进入次数或走出所述实际探测区域的外出次数是否超过预设阈值；
    若是，则将所述进入客流量减去所述进入次数，得到实际的进入客流量，或将所述外出客流量减去所述外出次数，得到实际的外出客流量。
  8. 一种客流量的统计方法，其特征在于，包括：
    获取预设监控区域内的视频图像信息；
    对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向包括进入或外出；
    通过WiFi探测器获取所述第一目标人员所携带的WiFi终端设备的第一终端标识，其中，所述WiFi探测器的实际探测区域覆盖所述预设监控区域；
    判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，
    若否，则根据所述第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；
    若是，则不改变所述进入客流量数值或所述外出客流量数值。
  9. 一种客流量的统计装置，其特征在于，包括：
    第一视频图像获取单元，用于获取预设监控区域内的视频图像信息；
    第一运动方向确定单元，用于对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向为进入无线探测器的实际探测区域的方向或从所述实际探测区域外出的方向，其中，所述实际探测区域覆盖所述预设监控区域；
    第一客流量统计单元，用于根据确定的所述第一目标人员的运动方向，统计得到所述实际探测区域的进入客流量或外出客流量；
    第一终端标识读取单元，用于读取WiFi探测器探测到的所述第一目标人员所携带的WiFi终端设备的第一终端标识；
    第一判断单元，用于判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，若是，则将所述进入客流量或所述外出客流量减1；若否，则不改变所述进入客流量或所述外出客流量。
  10. 一种客流量的统计装置，其特征在于，包括：
    第二视频图像获取单元，用于获取预设监控区域内的视频图像信息；
    第二运动方向确定单元，用于对所述视频图像信息进行视频分析，根据分析结果确定出现在所述预设监控区域内的第一目标人员的运动方向，所述运动方向包括进入或外出；
    第二终端标识读取单元，用于通过WiFi探测器获取所述第一目标人员所携带的WiFi终端设备的第一终端标识，其中，所述WiFi探测器的实际探测区域覆盖所述预设监控区域；
    第二判断单元，用于判断所述第一终端标识是否在预设的非客户人员终端标识数据库中，
    若否，则根据所述第一目标人员的运动方向，相应将进入客流量数值或外出客流量数值加一；
    若是，则不改变所述进入客流量数值或所述外出客流量数值。
  11. 一种存储介质，其特征在于，用于存储应用程序，所述应用程序用于在运行时执行：权利要求1和8所述的任一种客流量的统计方法。
  12. 一种应用程序，其特征在于，用于在运行时执行：权利要求1和8所述的任一种客流量的统计方法。
  13. 一种电子设备，其特征在于，包括：处理器、存储器、通信接口和总线；
    所述处理器、所述存储器和所述通信接口通过所述总线连接并完成相互间的通信；
    所述存储器存储可执行程序代码；
    所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行：权利要求1和8所述的任一种客流量的统计方法。
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CN106803137A (zh) * 2017-01-25 2017-06-06 东南大学 城市轨道交通afc系统实时进站客流量异常检测方法
CN106937253A (zh) * 2017-04-17 2017-07-07 上海汇纳信息科技股份有限公司 一种顾客判断方法及系统、服务器
CN106937253B (zh) * 2017-04-17 2020-07-03 汇纳科技股份有限公司 一种顾客判断方法及系统、服务器
CN108668225B (zh) * 2018-04-11 2023-12-01 北京天正聚合科技有限公司 对象属性确定方法及拦截策略调整方法、装置及电子设备
CN108668225A (zh) * 2018-04-11 2018-10-16 北京天正聚合科技有限公司 对象属性确定方法及拦截策略调整方法、装置及电子设备
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CN109493122A (zh) * 2018-10-22 2019-03-19 深圳市秦丝科技有限公司 用于实体店铺的客流统计分析方法、终端及存储介质
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CN112785462A (zh) * 2020-02-27 2021-05-11 吴秋琴 基于大数据的景区客流量统计评估系统
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