CN111277788A - Monitoring method and monitoring system based on MAC address - Google Patents

Monitoring method and monitoring system based on MAC address Download PDF

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Publication number
CN111277788A
CN111277788A CN201811475837.6A CN201811475837A CN111277788A CN 111277788 A CN111277788 A CN 111277788A CN 201811475837 A CN201811475837 A CN 201811475837A CN 111277788 A CN111277788 A CN 111277788A
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face image
mac address
face
mac addresses
mac
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CN111277788B (en
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谭政
聂蓉
曹孝元
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BEIJING TELESOUND ELECTRONICS CO LTD
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BEIJING TELESOUND ELECTRONICS CO LTD
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2101/00Indexing scheme associated with group H04L61/00
    • H04L2101/60Types of network addresses
    • H04L2101/618Details of network addresses
    • H04L2101/622Layer-2 addresses, e.g. medium access control [MAC] addresses
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2101/00Indexing scheme associated with group H04L61/00
    • H04L2101/60Types of network addresses
    • H04L2101/69Types of network addresses using geographic information, e.g. room number

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Abstract

The invention provides a monitoring method and a monitoring system based on an MAC address. The method comprises the following steps: collecting a video of a monitored target place and an MAC address of intelligent equipment near the target place; identifying a face image in the video, and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods; and iteratively filtering the plurality of MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses, and archiving the association records. According to the invention, through collecting the MAC address and the face image of the mobile equipment carried by the personnel and carrying out the association and screening of the MAC address and the face image, the multi-dimensional information collection and the multi-dimensional information interconnection and mutual check are realized, more comprehensive and comprehensive personnel control is realized, and the success rate of the positioning of key personnel is improved.

Description

Monitoring method and monitoring system based on MAC address
Technical Field
The embodiment of the invention relates to the technical field of safety monitoring, in particular to a monitoring method and a monitoring system based on an MAC address.
Background
The monitoring camera is used in security protection, and is widely applied to a plurality of security protection fields such as schools, companies, banks, traffic and the like. Existing surveillance cameras include: the network coding module codes and compresses analog video signals collected by the analog camera into digital signals, so that the network camera can be directly accessed to network switching and routing equipment; face identification snapshot camera is a section can be tracked, discerned, the intelligent high definition monitoring smart camera that enlargies of intelligence to can directly catch the people's face, as long as get into the monitoring range, will discern, snatch the face image, very big reduction the crime.
The information that current surveillance camera machine gathered is more single, if criminals face and make a crime, just very difficult snatch people's facial information, lead to unable its relevant identity information of acquireing. Therefore, a multi-dimensional information monitoring system is needed.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a monitoring method and a monitoring system based on an MAC address, which realize more comprehensive and comprehensive control through multi-dimensional information acquisition and mutual check.
In order to achieve the purpose, the invention provides the following technical scheme:
in one aspect, the present invention provides a monitoring method based on MAC address, including:
collecting a video of a monitored target place and an MAC address of intelligent equipment near the target place;
identifying a face image in the video, and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods;
and iteratively filtering the multiple MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses, and archiving the association records, wherein N is more than or equal to 1.
In another aspect, the present invention further provides a monitoring system based on MAC address, including:
the front-end acquisition subsystem is used for acquiring a video of a monitored target place and an MAC address of intelligent equipment near the target place;
the information processing subsystem is used for identifying the face image in the video and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods;
and the data analysis subsystem is used for carrying out iterative filtering on the plurality of MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses and archiving the association records, wherein N is more than or equal to 1.
Further, the method also comprises the following steps:
the comparison subsystem is used for comparing the identified face image with face pictures in a face picture library and determining the personnel number information of the face image;
and the recording subsystem is used for establishing the face image, the capturing time of the face image, the capturing position of the face image and the personnel number information into a face record.
In another aspect, the present invention further provides an electronic device, including: a processor, a memory, a communication interface, and a communication bus; wherein the content of the first and second substances,
the processor, the communication interface and the memory complete mutual communication through a communication bus;
the processor is used for calling the logic instruction in the memory to execute the monitoring method based on the MAC address.
In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the above monitoring method based on MAC address.
According to the monitoring method and the monitoring system based on the MAC address, disclosed by the invention, the acquisition personnel carry the MAC address of the mobile equipment and the face image, and the correlation and screening of the MAC address and the face image are carried out, so that the acquisition of multi-dimensional information and the interconnection and mutual check of the multi-dimensional information are realized, the more comprehensive and comprehensive personnel arrangement and control are realized, and the success rate of the positioning of key personnel is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a monitoring method based on a MAC address according to an embodiment of the present invention;
fig. 2 is a flowchart of another monitoring method based on MAC addresses according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a specific implementation manner of step S105 in the monitoring method based on the MAC address according to the embodiment of the present invention;
fig. 4 is a schematic structural diagram of a monitoring system based on a MAC address according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a monitoring method based on an MAC address provided in an embodiment of the present invention specifically includes the following steps:
s101: collecting a video of a monitored target place and an MAC address of intelligent equipment near the target place;
in this step, the video and the MAC address of the target site are acquired by the monitoring camera device and the WiFi probe of the target site, respectively.
The monitoring camera equipment has a real-time video recording function and can be a monitoring camera, a network camera, a human face camera and other equipment with real-time camera shooting and video transmission functions; the WiFi probe has the function of capturing the MAC address of the electronic equipment in real time; the monitoring camera equipment and the WiFi probe are integrally installed at the same position of a monitored target place, data acquisition is carried out on the passing people flow and the carrying equipment at the same time, and the effective range of the monitoring camera equipment or the effective range of the WiFi probe is determined near the target place. The monitoring camera equipment records video, time and equipment position information of the passing personnel, and the WiFi probe acquires MAC address information, time and equipment position information of the mobile equipment carried by the passing personnel. The monitoring camera device of the monitored target place at the same position and the device position information provided by the WiFi probe are the same.
It should be noted that, when a device sends information to another device through a wireless transmission technology, other similar devices around the device can receive the information, and the WiFi probe technology is based on this principle. Specifically, as long as a WiFi device is in the listening range of the WiFi probe, when the WiFi device (whether it is a terminal, a router, or other WiFi device) sends any Frame (Frame), regardless of the person to whom the Frame is sent, the probe can intercept and analyze some information of the MAC layer and the physical layer of the Frame, such as the MAC address of the sending and receiving device, the Frame type, the signal strength, and the like. The WiFi probe is transparent to surrounding WiFi devices. The WiFi probe does not require any interaction with surrounding equipment and does not itself need to emit any WiFi signal. The main purpose of the WiFi probe is to count and analyze surrounding WiFi devices. With the popularization of smart phones, WiFi probes are also deployed more and more. As long as the WiFi function of the handset is on, whether there is a connection hotspot or not, it can be detected by the probe.
S102: identifying a face image in the video, and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods;
in the step, a face image in the video is identified in an image identification mode, and a plurality of time periods of the identified face image appearing in the video are determined;
after the face image is determined, the time for acquiring the face image can be acquired. And searching the MAC address of the intelligent equipment detected by the WiFi probe at the time according to the acquisition time of the face image, wherein the intelligent equipment is considered as mobile equipment carried by the person with the face image. Therefore, at the acquisition time of the current face image, the face image exists corresponding to one, a plurality of or zero MAC addresses.
According to the collected face images, the MAC addresses of the intelligent equipment in each time period in the multiple time periods are determined when the same person appears in the target place in the collected video, and the multiple MAC addresses corresponding to the multiple time periods are obtained.
If the monitoring camera equipment adopts a face camera, a face image can be directly identified from the video.
S105: and iteratively filtering the multiple MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses, and archiving the association records, wherein N is more than or equal to 1.
In the step, the face image and the MAC address corresponding to the face image are integrated into a correlation record, the face image of each person and the MAC address of the carrying equipment are correlated through the capturing time and the equipment position, and repeated and wrong correlation results are filtered and screened out continuously in an iterative mode.
As can be seen from the above description, according to the monitoring method based on the MAC address provided in the embodiment of the present invention, by acquiring the MAC address and the face image of the mobile device carried by the person, and performing association and screening between the MAC address and the face image, multi-dimensional information acquisition and multi-dimensional information interconnection and mutual inspection are achieved, more comprehensive and comprehensive personnel deployment and control are achieved, and the success rate of positioning key personnel is improved.
The embodiment of the invention provides a monitoring method based on an MAC address. Referring to fig. 2, before the step S105, the method further includes the following steps:
s103: comparing the identified face image with face pictures in a face picture library and determining personnel number information of the face image;
in this step, the identified face image and the corresponding multiple MAC addresses are created to generate a face picture library, and data can be stored and utilized according to the face picture library. When a face image is newly acquired, comparing the identified face image with face images in a face image library, and determining personnel number information of the face image; the face image collected in real time is stored.
In order to avoid excessive repeated data, the identified face image is compared with the face image in the face image library, if the face image is successfully compared with the face image, the face image is stored in the image library, and the person number information corresponding to the face image in the face image library is given to the face image; if the comparison between the face image and the face image is unsuccessful, the face image is not stored in the face image library, a new personnel number is added in the face image library, and the new personnel number is given to the face image.
S104: and establishing the face image, the capturing time of the face image, the capturing position of the face image and the personnel number information as a face record.
In this step, the person number information is used as a sequence, and the facial image and the capture position of the facial image with the same capture time are filled in each sequence.
As can be seen from the foregoing description, the embodiment of the present invention provides a monitoring method based on an MAC address, which can generate a basic human face picture library, store and use data, and reduce redundancy of the human face picture library.
In an alternative embodiment, a specific implementation of step S105 is provided. Referring to fig. 3, the step S105 specifically includes the following steps:
s1051: acquiring the MAC address of the intelligent device corresponding to the face image in each time period in a plurality of time periods, and classifying the same MAC address in the acquired MAC addresses into one class;
in this step, a time segment of a face image is extracted from a plurality of time segments with face images extracted from a video, and the acquisition time T of the face image and the position information of the device are found. And searching the record of the MAC address at the same acquisition time T to obtain the specific information of the MAC address corresponding to the face image in the time period. And planning the same MAC address in the obtained MAC address information into a class, wherein the same MAC address is a mobile device, and the number of the classes is the number of the mobile devices. And determining the mobile equipment carried by the person corresponding to the face image from the number of the mobile equipment.
The multiple time periods correspond to multiple MAC addresses, and the same MAC addresses in the multiple MAC addresses are classified into one class.
S1052: determining the MAC address with the acquisition time of the MAC address in each type of MAC address closest to the capture time of the face image;
in this step, a plurality of MAC addresses corresponding to a plurality of time periods are preliminarily filtered: and for each type of MAC address in each time period, only one MAC address with the acquisition time of the MAC address closest to the capturing time of the face image in each type of MAC address is reserved, and the records of the rest MAC addresses are deleted.
S1053: counting the nearest MAC address in each time period in a plurality of time periods, and determining N MAC addresses with the occurrence frequency exceeding a preset threshold in the plurality of time periods;
and the N MAC addresses are N MAC addresses corresponding to the face image.
In this step, the MAC address in the MAC address record after the preliminary filtering is associated with the face image by the preliminary filtering. Wherein, a preliminary personnel association record library can be formed through preliminary filtering. Each preliminary personnel association record contains personnel number information, face information, time information, equipment position information and MAC address information.
Counting the nearest MAC address in each time period in a plurality of time periods, and determining N MAC addresses with the occurrence frequency exceeding a preset threshold in the plurality of time periods;
determining that the matching between the personnel corresponding to the face image and the equipment corresponding to the N MAC addresses is successful, extracting and filing all preliminary personnel association records containing the N MAC address information into another personnel matching record base, and simultaneously, recombining the MAC address information, the personnel number information and the face information into a personnel information record and filing the personnel information record into a personnel information base; otherwise, if the occurrence frequency does not exceed the threshold value, the matching is considered to be failed, and other operations are not carried out.
Furthermore, information correlation searching can be carried out, and mutual searching is carried out in a personnel information base through personnel number information, human face information and MAC address information; the time and the place of the personnel are positioned by searching the record of the same personnel number in the personnel matching record library, and the action track is drawn; and (4) giving a new MAC address by the user, and searching corresponding face information in the personnel information base.
From the above description, the iterative filtering method provided by the invention can simply and quickly determine the mobile device carried by the person corresponding to the face image.
In order to further explain the method of the present invention in detail, the present invention provides a specific application example of a monitoring method based on MAC address, which includes the following specific contents:
the monitoring camera equipment and the WiFi probe are integrally installed at the same position of a community gate, the monitoring camera equipment and the WiFi probe can be installed in a plurality of communities, and the communities can have a plurality of gates. The monitoring camera equipment collects face videos and corresponding time and positions of people who enter and exit the community, and meanwhile the WiFi probe collects MAC addresses and corresponding time and positions of mobile equipment (mainly a mobile phone) carried by people who enter and exit the community. The monitoring camera equipment collects face videos, and if the monitoring camera equipment directly adopts a face camera, face pictures can be directly identified. The face analysis server identifies the face image in the video recording, and then performs face comparison analysis with the face image in the face image library (as shown in table 1).
Table 1: face gallery
Figure BDA0001892170640000071
Figure BDA0001892170640000081
If the comparison is successful, giving the same personnel number information as the human face picture in the human face picture library; and if the comparison fails, adding a new personnel number in the face image library, and associating and archiving the acquired face information and the personnel number. And storing each piece of face information, the face capturing time, the equipment position information and the personnel number information as a piece of face record (shown in a table 2).
Table 2: human face record
Personnel numbering Time of day Position of Face picture
1 T1 X1 1.jpg
1 T2 X1 1.jpg
1 T3 X3 1.jpg
2 T2 X2 2.jpg
2 T3 X3 2.jpg
3 T4 X3 3.jpg
The WiFi probe analysis server stores each captured MAC address information and time and device location information as a MAC record (see table 3). And the face analysis server and the probe analysis server respectively send the sorted records to the data analysis server through a network.
Table 3: MAC recording
Time of day Position of MAC address
T1 X1 M1
T2 X1 M1
T3 X3 M1
T2 X2 M2
T3 X3 M3
T4 X3 M4
And the data analysis server arranges the face record and the MAC record by using a data analysis algorithm. First, a preliminary personal association record is obtained through preliminary filtering (see table 4).
Table 4: preliminary personnel association record library
Personnel numbering Time of day Position of Face picture MAC address
1 T1 X1 1.jpg M1
1 T2 X1 1.jpg M1
1 T3 X3 1.jpg M1
2 T2 X2 2.jpg M2
2 T3 X3 2.jpg M3
3 T4 X3 3.jpg M4
And performing iterative filtering on the preliminary personnel association records, finding all the preliminary personnel association records with the same personnel number, classifying the preliminary personnel association records into one class, and counting the MAC address information in the preliminary personnel association records. Referring to table 3, for person No. 1, there are 3 records and the same MAC address (M1) appears 3 times; for person 2, there are 2 records, but the MAC addresses are not the same 2 times; for person No. 3, there is only one record. A matching threshold value of 2 (which can be changed according to actual conditions) is agreed in advance, that is, if the number of times of the same MAC address appearing exceeds 2 times (more than or equal to 3 times) for the same person number, the matching is considered to be successful. Accordingly, only person number 1 matches successfully, and both person numbers 2 and 3 fail. Therefore, the records associated with person number 1 are stored in the person matching records repository (see Table 5).
Table 5: personnel matching record library
Personnel numbering Time of day Position of Face picture MAC address
1 T1 X1 1.jpg M1
1 T2 X1 1.jpg M1
1 T3 X3 1.jpg M1
In the personnel matching record library, the personnel number, the face picture and the MAC address are extracted and stored in a personnel information library (shown as a table 6).
Table 6: personnel information base
Personnel numbering Face picture MAC address
1 1.jpg M1
Further, when performing association search, the user can perform information association search: the method comprises the following steps of mutually checking in a personnel information base through personnel number information, face information and MAC address information; the time and the place of the personnel are positioned by searching the record of the same personnel number in the personnel matching record library, and the action track is drawn; a user newly gives an MAC address, and searches corresponding face information in a personnel information base, which comprises the following specific steps:
(a) and the personnel information base is mutually checked through personnel number information, face information and MAC address information.
(b) And (4) searching records of the same personnel number in a personnel matching record library, locating the time and place of the personnel and describing the action track. As for person No. 1, its occurrence in a series of time locations is found in table 5: (T1, X1) (T2, X1) (T3, X3). The action track of the person No. 1 in the cell can be described by positioning on the map.
(c) And (3) giving a new MAC address (newly acquired by front-end equipment or released to a data analysis server by a user) by the user, and searching corresponding face information in a personnel information base. For example, a criminal makes a crime in a certain place, only the MAC address of the device carried by the person is collected, and no face information is collected. If the person passes through information acquisition before, the information is recorded in the database, so that the face information corresponding to the MAC address can be searched in the person information database, and then criminals can be arrested through face arrangement control.
From the above description, it can be known that, through collecting the mobile device MAC address and the face image carried by the person, and performing association and screening of the MAC address and the face image, multi-dimensional information collection and multi-dimensional information interconnection and mutual check are realized, more comprehensive and comprehensive person information search and multi-dimensional control are realized, and the success rate of key person positioning is improved.
An embodiment of the present invention provides a monitoring system based on an MAC address, referring to fig. 4, including:
the front-end acquisition subsystem 10 is used for acquiring a video of a monitored target place and an MAC address of intelligent equipment near the target place;
and respectively acquiring the video and the MAC address of the target place through the monitoring camera equipment and the WiFi probe of the target place.
The information processing subsystem 20 is configured to identify a face image in the video, and search a plurality of MAC addresses corresponding to the face image in a plurality of time periods;
the information processing subsystem comprises a face analysis server and a probe analysis server;
the face analysis server can receive and store information from the monitoring camera equipment and arrange the information into a uniform recording format;
the face analysis server can identify face information from the video recording and compare the face information with other pictures;
the face analysis server stores a face gallery, the face gallery comprises personnel number information and face pictures, and the information in the face gallery can be added, deleted, modified and searched;
the probe analysis server can receive and store information from the WiFi probe and arrange the information into a uniform recording format.
And the data analysis subsystem 30 is used for performing iterative filtering on the plurality of MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses and archiving the association records, wherein N is more than or equal to 1.
The data analysis subsystem comprises a data analysis server;
the data analysis server can receive and store records from the face analysis server and the probe analysis server;
the data analysis server can perform preliminary filtering and iterative filtering on the recorded information;
the data analysis server comprises a preliminary personnel association record library, a personnel matching record library and a personnel information library;
the preliminary personnel association record base stores preliminary personnel association records generated after record information is preliminarily filtered;
the personnel matching record library and the personnel information library respectively store personnel matching records and personnel information records generated after iterative filtering of record information;
the preliminary personnel association record comprises personnel number information, face information, time information, equipment position information and MAC address information;
the personnel matching record comprises personnel number information, face information, time information, equipment position information and MAC address information;
the personnel information record comprises personnel number information, face information and MAC address information;
further comprising: the comparison subsystem is used for comparing the identified face image with face pictures in a face picture library and determining the personnel number information of the face image;
and the recording subsystem is used for establishing the face image, the capturing time of the face image, the capturing position of the face image and the personnel number information into a face record.
All subsystems are provided with open interfaces facing to a third party, and data transmission is carried out among the subsystems through a standard protocol.
It should be noted that the functions implemented by the modules in the apparatus correspond to the corresponding operation steps in the method embodiment, and are not described herein again.
According to the technical scheme, the monitoring system based on the MAC address is simple in structure and convenient to use, the front-end acquisition subsystem is used for acquiring the MAC address and the face image of the mobile equipment carried by the person, and the information processing subsystem and the data analysis subsystem are used for carrying out association and screening, so that multi-dimensional information acquisition and multi-dimensional information interconnection and mutual checking are realized, more comprehensive and comprehensive personnel arrangement and control are realized, and the success rate of key personnel positioning is improved.
An embodiment of the present invention provides an electronic device, and referring to fig. 5, the electronic device may include: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform the following method: collecting a video of a monitored target place and an MAC address of intelligent equipment near the target place; identifying a face image in the video, and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods; and iteratively filtering the multiple MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses, and archiving the association records, wherein N is more than or equal to 1.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the method provided by the above method embodiments, for example, the method includes: collecting a video of a monitored target place and an MAC address of intelligent equipment near the target place; identifying a face image in the video, and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods; and iteratively filtering the multiple MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses, and archiving the association records, wherein N is more than or equal to 1.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means/systems for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.

Claims (10)

1. A monitoring method based on MAC address is characterized by comprising the following steps:
collecting a video of a monitored target place and an MAC address of intelligent equipment near the target place;
identifying a face image in the video, and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods;
and iteratively filtering the multiple MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses, and archiving the association records, wherein N is more than or equal to 1.
2. The monitoring method of claim 1, further comprising:
comparing the identified face image with face pictures in a face picture library and determining personnel number information of the face image;
and establishing the face image, the capturing time of the face image, the capturing position of the face image and the personnel number information as a face record.
3. The monitoring method according to claim 2, wherein the step of comparing the identified face image with the face pictures in the face picture library and establishing the person number information of the face image comprises:
if the face image is successfully compared with the face picture, assigning personnel number information corresponding to the face picture in the face picture library to the face image;
and if the comparison between the face image and the face picture is unsuccessful, adding a new personnel number in the face picture library, and endowing the new personnel number to the face image.
4. The monitoring method according to claim 1 or 2, wherein the step of collecting the video of the monitored target place and the MAC addresses of the smart devices near the target place comprises:
and respectively acquiring the video and the MAC address of the target place through the monitoring camera equipment and the WiFi probe of the target place.
5. The monitoring method according to claim 1 or 2, wherein the step of identifying the face image in the video and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods comprises:
identifying a face image in the video in an image identification mode and determining a plurality of time periods of the identified face image in the video;
and determining the MAC address of the intelligent device in each time period in the multiple time periods to obtain multiple corresponding MAC addresses in the multiple time periods.
6. The monitoring method according to claim 1 or 2, wherein the step of iteratively filtering a plurality of MAC addresses to obtain N MAC addresses corresponding to the face image comprises:
acquiring the MAC address of the intelligent device corresponding to the face image in each time period in a plurality of time periods, and classifying the same MAC address in the acquired MAC addresses into one class;
determining the MAC address with the acquisition time of the MAC address in each type of MAC address closest to the capture time of the face image;
counting the nearest MAC address in each time period in a plurality of time periods, and determining N MAC addresses with the occurrence frequency exceeding a preset threshold in the plurality of time periods;
and the N MAC addresses are N MAC addresses corresponding to the face image.
7. A MAC address based monitoring system, comprising:
the front-end acquisition subsystem is used for acquiring a video of a monitored target place and an MAC address of intelligent equipment near the target place;
the information processing subsystem is used for identifying the face image in the video and searching a plurality of MAC addresses corresponding to the face image in a plurality of time periods;
and the data analysis subsystem is used for carrying out iterative filtering on the plurality of MAC addresses to obtain N MAC addresses corresponding to the face image, establishing association records of the face image and the N MAC addresses and archiving the association records, wherein N is more than or equal to 1.
8. The monitoring system of claim 7, further comprising:
the comparison subsystem is used for comparing the identified face image with face pictures in a face picture library and determining the personnel number information of the face image;
and the recording subsystem is used for establishing the face image, the capturing time of the face image, the capturing position of the face image and the personnel number information into a face record.
9. An electronic device, comprising: a processor, a memory, a communication interface, and a communication bus; wherein the content of the first and second substances,
the processor, the communication interface and the memory complete mutual communication through a communication bus;
the processor is used for calling logic instructions in the memory to execute the MAC address based monitoring method of any one of claims 1-6.
10. A non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the MAC address based monitoring method of any one of claims 1-6.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112733647A (en) * 2020-12-30 2021-04-30 浙江大华技术股份有限公司 Method, analysis server and system based on MAC address and face information binding
CN112929963A (en) * 2021-02-07 2021-06-08 深圳前海中电慧安科技有限公司 Personnel positioning method, device and equipment based on terminal ranging and storage medium
CN113158713A (en) * 2020-10-22 2021-07-23 西安天和防务技术股份有限公司 Valley management system
CN113470833A (en) * 2021-05-25 2021-10-01 浙江大华技术股份有限公司 Person tracking method, person tracking device, electronic device, and storage medium
CN114157986A (en) * 2021-12-02 2022-03-08 重庆交通大学 Close contact people identification method and device, electronic equipment and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104992075A (en) * 2015-07-30 2015-10-21 浙江宇视科技有限公司 Multi-source information correlation method based on big data
CN105357480A (en) * 2015-11-10 2016-02-24 杭州敦崇科技股份有限公司 Public place wireless internet access security management system and operation method thereof
CN105790955A (en) * 2016-04-06 2016-07-20 深圳市博康智能信息技术有限公司 Method and system for associating MAC addresses with face information
CN106548164A (en) * 2016-11-28 2017-03-29 中通服公众信息产业股份有限公司 The relevance recognition methods of facial image and mobile device
CN106548148A (en) * 2016-10-26 2017-03-29 北京意泰物联软件科技有限公司 Method and system for identifying unknown face in video
CN107590439A (en) * 2017-08-18 2018-01-16 湖南文理学院 Target person identification method for tracing and device based on monitor video
US20180096575A1 (en) * 2016-10-03 2018-04-05 Motaz Aladas System for facilitating surveillance video analysis
CN108536749A (en) * 2018-03-12 2018-09-14 南京甄视智能科技有限公司 The method for building personnel's Track View based on collision detection method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104992075A (en) * 2015-07-30 2015-10-21 浙江宇视科技有限公司 Multi-source information correlation method based on big data
CN105357480A (en) * 2015-11-10 2016-02-24 杭州敦崇科技股份有限公司 Public place wireless internet access security management system and operation method thereof
CN105790955A (en) * 2016-04-06 2016-07-20 深圳市博康智能信息技术有限公司 Method and system for associating MAC addresses with face information
US20180096575A1 (en) * 2016-10-03 2018-04-05 Motaz Aladas System for facilitating surveillance video analysis
CN106548148A (en) * 2016-10-26 2017-03-29 北京意泰物联软件科技有限公司 Method and system for identifying unknown face in video
CN106548164A (en) * 2016-11-28 2017-03-29 中通服公众信息产业股份有限公司 The relevance recognition methods of facial image and mobile device
CN107590439A (en) * 2017-08-18 2018-01-16 湖南文理学院 Target person identification method for tracing and device based on monitor video
CN108536749A (en) * 2018-03-12 2018-09-14 南京甄视智能科技有限公司 The method for building personnel's Track View based on collision detection method

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113158713A (en) * 2020-10-22 2021-07-23 西安天和防务技术股份有限公司 Valley management system
CN112733647A (en) * 2020-12-30 2021-04-30 浙江大华技术股份有限公司 Method, analysis server and system based on MAC address and face information binding
CN112929963A (en) * 2021-02-07 2021-06-08 深圳前海中电慧安科技有限公司 Personnel positioning method, device and equipment based on terminal ranging and storage medium
CN113470833A (en) * 2021-05-25 2021-10-01 浙江大华技术股份有限公司 Person tracking method, person tracking device, electronic device, and storage medium
CN114157986A (en) * 2021-12-02 2022-03-08 重庆交通大学 Close contact people identification method and device, electronic equipment and storage medium

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