CN108540760B - Video monitoring identification method, device and system - Google Patents
Video monitoring identification method, device and system Download PDFInfo
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- CN108540760B CN108540760B CN201710115194.3A CN201710115194A CN108540760B CN 108540760 B CN108540760 B CN 108540760B CN 201710115194 A CN201710115194 A CN 201710115194A CN 108540760 B CN108540760 B CN 108540760B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0876—Network architectures or network communication protocols for network security for authentication of entities based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
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Abstract
The invention discloses a video monitoring identification method, device and system, and relates to the technical field of video monitoring. The method comprises the following steps: receiving monitoring time information sent by video monitoring equipment and video image information acquired at the monitoring time; receiving acquisition time information sent by identity identification acquisition equipment and identification information of each user equipment acquired at the acquisition time; identifying biological characteristic information of each user according to the video image information; if the time difference between the monitoring time and the acquisition time is within the threshold time range, determining the matching degree of user identity record information corresponding to the user equipment identification and the biological characteristic information of each user; and identifying the user equipment identifier as the equipment identifier carried by the user with the user biological characteristic information which has the highest matching degree with the user identity record information corresponding to the user equipment identifier, so that the equipment identifiers of the users entering the video monitoring range at the same time can be distinguished, and further the specific information of the users in the video image can be distinguished.
Description
Technical Field
The invention relates to the technical field of video monitoring, in particular to a video monitoring identification method, device and system.
Background
The video monitoring camera is applied to more and more public places according to the characteristics of intuition, timeliness, rich information content and the like, and the user images entering the public places can be rapidly acquired through the video monitoring camera, but specific information of the user, such as age, height and the like, cannot be acquired.
Although the information of the user can be inquired according to the identification of the equipment carried by the user by combining the image acquired by the camera with the information acquired by the WIFI equipment, the information of the monitored person is further determined. However, if a plurality of persons simultaneously enter the line-of-sight range of the camera and the acquisition range of the WIFI device (for example, a pair of lovers enters a shopping mall together), the identification of the device carried by each user in the video cannot be distinguished, and thus the information of each user in the video image cannot be distinguished.
Disclosure of Invention
The invention aims to provide a video monitoring and identifying method, a device and a system, which can distinguish equipment identifications carried by users in a video in time.
According to an aspect of the present invention, a video surveillance identification method is provided, including: receiving monitoring time information sent by video monitoring equipment and video image information acquired in monitoring time; receiving acquisition time information sent by identity identification acquisition equipment and identification information of each user equipment acquired at the acquisition time; identifying biological characteristic information of each user according to the video image information; if the time difference between the monitoring time and the acquisition time is within the threshold time range, determining the matching degree of user identity record information corresponding to the user equipment identification information and the biological characteristic information of each user; and identifying the user equipment identifier carried by the user with the user biological characteristic information which has the highest matching degree with the user identity record information corresponding to the user equipment identifier information.
Further, the method further comprises: and if the time difference between the monitoring time and the acquisition time is within the threshold time range, performing associated storage on the video image information, the corresponding biological characteristic information of each user and the identification information of each user device.
Further, the method further comprises: and if the user biological characteristic information identified according to the video image information is not stored in the association repository, the video image information is associated and stored with the corresponding user biological characteristic information and the identification information of each user device.
Further, the method further comprises: and displaying the user identity record information corresponding to the user equipment identification information on the video image of the user carrying the user equipment.
Further, the user equipment identity is the MAC address of the user equipment.
Further, the monitoring range of the video monitoring equipment is equivalent to the acquisition range of the identification acquisition equipment.
According to another aspect of the present invention, there is also provided a video surveillance recognition apparatus, including: the monitoring information receiving unit is used for receiving monitoring time information sent by the video monitoring equipment and video image information acquired in the monitoring time; the identification information receiving unit is used for receiving the acquisition time information sent by the identity identification acquisition equipment and the identification information of each user equipment acquired at the acquisition time; the biological characteristic information identification unit is used for identifying biological characteristic information of each user according to the video image information; the user identity recognition unit is used for inquiring corresponding user identity record information according to the user equipment identification information; the information matching degree determining unit is used for determining the matching degree of the user identity record information corresponding to the user equipment identification information and the biological characteristic information of each user if the time difference between the monitoring time and the acquisition time is within the threshold time range; and the equipment identification recognition unit is used for recognizing the equipment identification carried by the user with the user identity record information corresponding to the user equipment identification information and the user biological characteristic information with the highest matching degree.
Further, the device also comprises an associated storage unit; and the association storage unit is used for associating and storing the video image information, the corresponding biological characteristic information of each user and the identification information of each user device if the time difference between the monitoring time and the acquisition time is within the threshold time range.
Furthermore, the association storage unit is further configured to, if the user biometric information identified according to the video image information is not stored in the association repository, associate and store the video image information, the corresponding user biometric information, and the identification information of each user device.
Further, the apparatus further includes a user information display unit; the user information display unit is used for displaying the user identity record information corresponding to the user equipment identification information on the video image where the user carrying the user equipment is located.
Further, the user equipment identity is the MAC address of the user equipment.
Further, the monitoring range of the video monitoring equipment is equivalent to the acquisition range of the identification acquisition equipment.
According to another aspect of the present invention, a video monitoring and identifying system is further provided, which is characterized by comprising a video monitoring device, an identity collecting device and the above video monitoring and identifying apparatus.
Compared with the prior art, the method and the device have the advantages that after the video image information and the identification information of each user device are received, the biological characteristic information of each user is identified according to the video image information, the matching degree of the user identity record information corresponding to the identification information of one user device and the biological characteristic information of each user is further determined according to the timestamp, and the user device identifier is identified as the device identifier carried by the user with the user biological characteristic information which is the highest in matching degree with the user identity record information corresponding to the identification information of the user device, so that the device identifier of each user entering a video monitoring range at the same time can be distinguished, and further the specific information of each user in the video image can be distinguished.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
The invention will be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
fig. 1 is a schematic flow chart of a video surveillance identification method according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a video surveillance identification method according to another embodiment of the present invention.
Fig. 3 is a flowchart illustrating a video surveillance identification method according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an embodiment of a video surveillance recognizing apparatus according to the present invention.
Fig. 5 is a schematic structural diagram of another embodiment of the video surveillance recognizing apparatus according to the present invention.
Fig. 6 is a schematic structural diagram of an embodiment of a video surveillance identification system according to the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
Fig. 1 is a schematic flow chart of a video surveillance identification method according to an embodiment of the present invention. The method comprises the following steps:
in step 110, monitoring time information sent by the video monitoring device and video image information collected at the monitoring time are received. The camera can be deployed in the designated area, and can send the acquired video image and the time information when the video image is acquired to the video monitoring and identifying device.
In step 120, the collecting time information sent by the identity collecting device and the user device identification information collected at the collecting time are received. Wherein, identity acquisition equipment, for example, WIFI equipment, may also be deployed in the specified area. User equipment identification information such as the MAC address of equipment carried by a user in a certain range can be collected through the WIFI equipment, and the collected MAC address of the user equipment and time information for collecting the MAC address of the user equipment can be sent to the video monitoring and recognizing device through the WIFI equipment.
In step 130, biometric information of each user is identified based on the video image information. For example, after monitoring the image of the user, rough personal information such as sex, approximate height, approximate age, etc. of the user is roughly recognized by a certain algorithm. If a plurality of users are simultaneously present in the video image, rough personal information of the respective users can be recognized.
In step 140, if the time difference between the monitoring time and the collecting time is within the threshold time range, the matching degree between the user identity record information corresponding to the user equipment identification information and the biometric information of each user is determined. For example, detailed person information corresponding to each MAC address, such as the real height, specific age, etc. of the user, can be found in the MAC address database according to the MAC address query of the user device. Since the rough personal information of the user has already been obtained in step 130, each rough personal information can be matched and fitted with the detailed personal information.
In step 150, the device identifier carried by the user whose user device identifier is the user biometric information with the highest degree of matching with the user identification record information corresponding to the user device identifier information is identified. If the rough personal information of a person is matched with the detailed personal information corresponding to the MAC address of a device to a high degree, the person monitored by the video can be determined to be matched with the MAC address, namely the MAC address is the MAC address of the device carried by the person.
In this embodiment, after receiving the video image information and the identification information of each user device, the biometric information of each user is identified according to the video image information, and then the matching degree between the user identification record information corresponding to a certain user device identification information and the biometric information of each user is determined according to the timestamp, and the device identifier carried by the user with the user identification record information having the highest matching degree with the user identification record information corresponding to the user device identification information is identified, so that the device identifier of each user entering the video monitoring range at the same time can be identified, and further the specific information of each user in the video image can be identified.
Fig. 2 is a schematic flow chart of a video surveillance identification method according to another embodiment of the present invention. The video monitoring system comprises a video monitoring device, a video monitoring identification device, a data transmission link, a protocol and the like, wherein the video monitoring device, the identity acquisition device and the video monitoring identification device can be deployed in a designated area in advance, and the data transmission link, the protocol and the like are preset among the video monitoring device, the identity acquisition device and the video monitoring identification device. The video monitoring equipment and the identification mark acquisition equipment are synchronous in time, and the monitoring range of the video monitoring equipment is equivalent to the acquisition range of the identification mark acquisition equipment, namely the monitoring range is the same as or close to the acquisition range.
In step 210, the video surveillance identification apparatus receives surveillance time information sent by the video surveillance equipment and video image information collected during the surveillance time.
In step 220, the video surveillance recognition apparatus receives the collection time information sent by the id collection device and the identification information of each user device collected at the collection time. For example, the identification collecting device is a WIFI device, and the video monitoring and recognizing device receives the MAC address of the user equipment.
In step 230, the video surveillance recognition device recognizes the biometric information of each user through a certain algorithm.
In step 240, if the time difference between the monitoring time and the collecting time is within the threshold time range, the video image information is stored in association with the corresponding biometric information of each user and the identification information of each user device. For example, for a frame of video image monitored by a camera, rough character information identified from the video image can be directly stored in an index file of the image, and then the MAC address acquired by the WIFI device is merged and stored in the index file of the video image according to the principle that the acquisition time is the same as or similar to the monitoring time. The MAC address can also be stored in an audio file or other files corresponding to the video image, and the MAC address and the video image can be stored in a correlated manner as long as the acquisition time of the MAC address is the same as the monitoring time of the video image.
In step 250, when the device identifier of each user in the video image is distinguished, the user identity record information corresponding to the device identifier information of each user is determined.
In step 260, the user identity record information corresponding to each user equipment identification information is matched with each user biological characteristic information according to the association relationship between the video image information and the corresponding user biological characteristic information and each user equipment identification information. Namely, the rough character information of each user in the video image acquired at the same time is matched and fitted with the detailed character information corresponding to the MAC address of a certain user device.
In step 270, if the matching degree between the ue identifier and the user identity record information is high, it is determined that the ue identifier is the identifier of the device carried by the user.
In the embodiment, after receiving the video image information and the identification information of each user device, identifying the biological feature information of each user according to the video image information, and further performing associated storage on the video image information, the corresponding biological feature information of each user and the identification information of each user device according to the timestamp; if the user equipment identifier is matched with certain user identity record information to a higher degree, the user equipment identifier is determined to be the identifier of the equipment carried by the user, so that the MAC address of each user entering a video monitoring range at the same time can be distinguished, and further, the specific information of each user in the video image can be distinguished.
Fig. 3 is a flowchart illustrating a video surveillance identification method according to an embodiment of the present invention. The method comprises the following steps:
in step 310, the camera sends each frame of monitored video image and the monitoring time thereof to the video monitoring and identifying device in real time.
In step 320, the WIFI device sends each acquired MAC address and the acquisition time thereof to the video monitoring and recognizing device in real time.
In step 330, the video surveillance identification device roughly identifies the rough person information such as gender, height, age, etc. of each person in the image through a certain algorithm for each frame of received video image, and marks each person in the image.
In step 340, if the rough personal information in the video image is not stored in the association repository, the personal tag, the rough personal information corresponding to the personal tag, the MAC address and the video image are merged and stored according to the principle that the acquisition time is the same as or close to the monitoring time. When the video images are merged and stored, the merged images can be stored in an index file of the video images, and can also be stored in an audio file corresponding to the video images. If the rough personal information in the video image is already stored in the association repository, the rough personal information is not stored, so that the amount of stored data can be reduced.
In step 350, when distinguishing the MAC address of each person in the image, the video monitoring and recognition device searches for a mobile phone number corresponding to the MAC address for each MAC address stored in a merged manner, and then searches for detailed person information corresponding to the mobile phone number through the mobile phone number.
In step 360, the searched detailed character information is matched with the rough character information corresponding to each character mark, and if the matching degree of the detailed character information and the rough character information is higher, the MAC address can be determined to be the MAC address of the mobile phone carried by the person corresponding to the character mark in the image.
In one embodiment, step 370 may be further included to display the matched person details on the video image. Namely, the user identity record information corresponding to the user equipment identification information is displayed on the video image of the user carrying the user equipment. The manager can know the information of each person in the image by watching the video image.
In this embodiment, the rough person information, the MAC addresses and the video images are merged and stored, when the MAC address of each person in the image is distinguished, the video monitoring and recognition device searches for a mobile phone number corresponding to the MAC address for each MAC address merged and stored, then searches for detailed person information corresponding to the mobile phone number through the mobile phone number, matches the found detailed person information with the rough person information corresponding to each person mark, and if the matching degree with a certain piece of rough person information is high, it is determined that the MAC address is the MAC address of a mobile phone carried by a person corresponding to the person mark in the image, so that in a scene where a plurality of persons enter the range of the camera and the acquisition range of the WIFI device at the same time, the MAC addresses of the persons are distinguished, and the detailed person information of each person is recognized.
Fig. 4 is a schematic structural diagram of an embodiment of a video surveillance recognizing apparatus according to the present invention. The apparatus includes a monitoring information receiving unit 410, an identification information receiving unit 420, a biometric information recognition unit 430, a user identity recognition unit 440, an information matching degree determination unit 450, and a device identification recognition unit 460, wherein:
the monitoring information receiving unit 410 is configured to receive monitoring time information sent by the video monitoring apparatus and video image information collected at the monitoring time. The identification information receiving unit 420 is configured to receive the acquisition time information sent by the identity acquisition device and the identification information of each user equipment acquired at the acquisition time. Wherein, the identification collection equipment can be WIFI equipment. User equipment identification information such as the MAC address of equipment carried by a user in a certain range can be collected through the WIFI equipment, and the collected MAC address of the user equipment and time information for collecting the MAC address of the user equipment can be sent to the video monitoring and recognizing device through the WIFI equipment.
The biometric information recognition unit 430 is configured to recognize biometric information of each user according to the video image information. For example, after monitoring the image of the user, rough personal information such as sex, approximate height, approximate age, etc. of the user is roughly recognized by a certain algorithm. If a plurality of users are simultaneously present in the video image, rough personal information of the respective users can be recognized. The user identity recognition unit 440 is configured to query corresponding user identity record information according to the user equipment identification information. For example, detailed person information corresponding to each MAC address, such as the real height, specific age, etc. of the user, can be found in the MAC address database according to the MAC address query of the user device.
The information matching degree determining unit 450 is configured to determine a matching degree between the user identity record information corresponding to the user equipment identification information and each user biometric information if a time difference between the monitoring time and the acquisition time is within a threshold time range. Since rough personal information of the user has been obtained at the biometric information recognition unit 430 and detailed personal information corresponding to the MAC address of the user device is queried at the user identification unit 440, each rough personal information may be matched and fitted with the detailed personal information at the information matching degree determination unit 450. The device identifier recognition unit 460 is configured to recognize the device identifier carried by the user whose user device identifier is the user biometric information with the highest matching degree with the user identity record information corresponding to the user device identifier information. If the rough personal information of a person is matched with the detailed personal information corresponding to the MAC address of a device to a high degree, the person monitored by the video can be determined to be matched with the MAC address, namely the MAC address is the MAC address of the device carried by the person.
In this embodiment, after receiving the video image information and the identification information of each user device, the biometric information of each user is identified according to the video image information, and then the matching degree between the user identification record information corresponding to a certain user device identification information and the biometric information of each user is determined according to the timestamp, and the user device identification is the device identification carried by the user of the user biometric information with the highest matching degree with the user identification record information corresponding to the user device identification information, so that the device identification of each user entering the video monitoring range at the same time can be distinguished, and further the specific information of each user can be distinguished.
Fig. 5 is a schematic structural diagram of another embodiment of the video surveillance recognizing apparatus according to the present invention. The device comprises a monitoring information receiving unit 510, an identification information receiving unit 520, a biological characteristic information identifying unit 530, a user identity identifying unit 540, an association storage unit 550, an information matching degree determining unit 560 and a device identification identifying unit 570, wherein:
the monitoring information receiving unit 510 is configured to receive monitoring time information sent by the video monitoring apparatus and video image information collected during the monitoring time. The identification information receiving unit 520 is configured to receive the acquisition time information sent by the identity acquisition device and the identification information of each user device acquired at the acquisition time. For example, the identification collecting device is a WIFI device, and the video monitoring and recognizing device receives the MAC address of the user equipment. The monitoring range of the video monitoring equipment is equivalent to the acquisition range of the identity acquisition equipment.
The biometric information recognition unit 530 is configured to recognize biometric information of each user through a certain algorithm, for example, roughly recognize rough person information such as gender, height, age, and the like of each person in the image for each frame of received video image through a certain algorithm. The user identity recognition unit 540 is configured to query corresponding user identity record information according to the user equipment identification information. For example, detailed person information corresponding to each MAC address, such as the real height, specific age, etc. of the user, can be found in the MAC address database according to the MAC address query of the user device.
The association storage unit 550 is configured to, if a time difference between the monitoring time and the acquisition time is within a threshold time range, associate and store the video image information, the corresponding biometric information of each user, and the identification information of each user device. For example, for a frame of video image monitored by a camera, rough character information identified from the video image can be directly stored in an index file of the image, and then the MAC address acquired by the WIFI device is merged and stored in the index file of the video image according to the principle that the acquisition time is the same as or similar to the monitoring time. The MAC address can also be stored in an audio file or other files corresponding to the video image, and the MAC address and the video image can be stored in a correlated manner as long as the acquisition time of the MAC address is the same as the monitoring time of the video image. In order to reduce the data storage amount, the association storage unit 540 may further perform the association storage of the video image information with the corresponding user biometric information and each user device identification information only when the user biometric information is not stored in the association repository.
The information matching degree determining unit 560 is configured to match the user identity record information corresponding to each user device identification information with each user biometric information according to the association relationship between the video image information and the corresponding user biometric information and each user device identification information. Namely, the rough character information of each user in the video image acquired at the same time is matched and fitted with the detailed character information corresponding to the MAC address of a certain user device. The device identifier identifying unit 570 is configured to determine that the user device identifier is an identifier of a device carried by the user if the user device identifier is highly matched with certain user identity record information.
In the embodiment, after receiving the video image information and the identification information of each user device, identifying the biological feature information of each user according to the video image information, and further performing associated storage on the video image information, the corresponding biological feature information of each user and the identification information of each user device according to the timestamp; if the user equipment identification is higher in matching degree with certain user identity record information, the user equipment identification is determined to be the identification of the equipment carried by the user, so that the MAC addresses of the users entering the video monitoring range at the same time can be distinguished, and further the specific information of the users can be distinguished.
In another embodiment of the present invention, the apparatus may further include a user information display unit 580, where the user information display unit 580 is configured to display user identity record information corresponding to the user equipment identification information on a video image where a user carrying the user equipment is located. I.e. the detailed information of the matched person is displayed on the video image. So that the manager can know the information of each person in the image by watching the video image.
Fig. 6 is a schematic structural diagram of an embodiment of a video surveillance identification system according to the present invention. The system comprises a video monitoring device 610, an identification collecting device 620 and a video monitoring and identifying device 630, wherein the video monitoring and identifying device 630 is described in detail in the above embodiments and is not further explained here.
A plurality of video monitoring devices 610 and a plurality of identification collecting devices 620 may be deployed in a designated area in advance, wherein a monitoring range of at least one video monitoring device 610 is similar to a collecting range of at least one identification collecting device 620, the video monitoring devices 610 and the identification collecting devices 620 are time-synchronized, and the identification collecting devices 620 may be WIFI collecting devices for collecting MAC addresses of user equipment. The video monitoring and recognizing device 630 may be a stand-alone device or may be an upgraded function based on the video monitoring apparatus 610 and the identification collecting apparatus 620.
Firstly, data transmission links, protocols and the like among the video monitoring equipment 610, the identity collecting equipment 620 and the video monitoring and recognizing device 630 are preset. The video monitoring equipment 610 sends the monitoring time information and the video image information collected at the monitoring time to the video monitoring recognition device 630, and the identification collecting equipment 620 sends the collecting time information and the identification information of each user equipment collected at the collecting time to the video monitoring recognition device 630. In a scene that a plurality of people simultaneously enter the line-of-sight range of the video monitoring equipment 610 and the acquisition range of the identity acquisition equipment 620, the video monitoring and recognizing device 630 stores the video image information, the corresponding biological characteristic information of each user and the identification information of each user equipment in an associated manner according to the time stamp; if the user equipment identification is higher in matching degree with certain user identity record information, the user equipment identification is determined to be the identification of the equipment carried by the user, so that the MAC addresses of the users entering a video monitoring range at the same time can be distinguished, further, the specific information of the users can be distinguished, and further, the detailed information of each person in a video image can be distinguished.
Thus far, the present invention has been described in detail. Some details well known in the art have not been described in order to avoid obscuring the concepts of the present invention. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
The method and apparatus of the present invention may be implemented in a number of ways. For example, the methods and apparatus of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustrative purposes only, and the steps of the method of the present invention are not limited to the order specifically described above unless specifically indicated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as a program recorded in a recording medium, the program including machine-readable instructions for implementing a method according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
Although some specific embodiments of the present invention have been described in detail by way of illustration, it should be understood by those skilled in the art that the above illustration is only for the purpose of illustration and is not intended to limit the scope of the invention. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (11)
1. A video monitoring and identifying method is characterized by comprising the following steps:
receiving monitoring time information sent by video monitoring equipment and video image information acquired in the monitoring time;
receiving acquisition time information sent by identity identification acquisition equipment and identification information of each user equipment acquired at the acquisition time, wherein the monitoring range of the video monitoring equipment is equivalent to the acquisition range of the identity identification acquisition equipment;
identifying biological characteristic information of each user according to the video image information;
if the time difference between the monitoring time and the acquisition time is within a threshold time range, determining the matching degree of user identity record information corresponding to the user equipment identification information and the biological characteristic information of each user, wherein the corresponding mobile phone number is searched according to the user equipment identification information, and the corresponding user identity record information is searched through the mobile phone number;
and identifying the user equipment identifier as the equipment identifier carried by the user with the user biological characteristic information which has the highest matching degree with the user identity record information corresponding to the user equipment identifier information.
2. The method of claim 1, further comprising:
and if the time difference between the monitoring time and the acquisition time is within a threshold time range, performing associated storage on the video image information, corresponding biological characteristic information of each user and identification information of each user device.
3. The method of claim 2, further comprising:
and if the user biological characteristic information identified according to the video image information is not stored in the association repository, the video image information is associated and stored with the corresponding user biological characteristic information and the identification information of each user device.
4. The method of any of claims 1-3, further comprising:
and displaying the user identity record information corresponding to the user equipment identification information on the video image of the user carrying the user equipment.
5. A method according to any of claims 1-3, wherein the user equipment identity is the MAC address of the user equipment.
6. A video surveillance recognition device, comprising:
the monitoring information receiving unit is used for receiving monitoring time information sent by video monitoring equipment and video image information acquired in the monitoring time;
the identification information receiving unit is used for receiving acquisition time information sent by the identification acquisition equipment and identification information of each user equipment acquired at the acquisition time, and the monitoring range of the video monitoring equipment is equivalent to the acquisition range of the identification acquisition equipment;
the biological characteristic information identification unit is used for identifying biological characteristic information of each user according to the video image information;
the user identity recognition unit is used for inquiring corresponding user identity record information according to the user equipment identification information;
an information matching degree determining unit, configured to determine a matching degree between user identity record information corresponding to the user equipment identification information and each user biometric information if a time difference between the monitoring time and the acquisition time is within a threshold time range, where a corresponding mobile phone number is searched according to the user equipment identification information, and corresponding user identity record information is searched through the mobile phone number;
and the equipment identification recognition unit is used for recognizing the equipment identification carried by the user with the user identity record information corresponding to the user equipment identification information and the user biological characteristic information with the highest matching degree.
7. The apparatus of claim 6, further comprising an association storage unit;
and the associated storage unit is used for storing the video image information, the corresponding biological characteristic information of each user and the identification information of each user device in an associated manner if the time difference between the monitoring time and the acquisition time is within a threshold time range.
8. The apparatus according to claim 7, wherein the association storage unit is further configured to, if the biometric information of the user identified from the video image information is not stored in the association repository, store the video image information in association with the corresponding biometric information of the user and the identification information of each user device.
9. The apparatus according to any one of claims 6 to 8, further comprising a user information display unit;
and the user information display unit is used for displaying the user identity record information corresponding to the user equipment identification information on the video image of the user carrying the user equipment.
10. The apparatus according to any of claims 6-8, wherein the ue identity is a MAC address of the ue.
11. A video surveillance identification system comprising video surveillance equipment, identity capture equipment and a video surveillance identification apparatus as claimed in any one of claims 6 to 10.
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| CN110442658B (en) * | 2019-08-14 | 2022-03-04 | 爱笔（北京）智能科技有限公司 | Data association method and device |
| CN110852372B (en) * | 2019-11-07 | 2022-05-31 | 北京爱笔科技有限公司 | Data association method, device and equipment and readable storage medium |
| US11714882B2 (en) * | 2020-10-09 | 2023-08-01 | Dragonfruit Ai, Inc. | Management of attributes associated with objects in video data |
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