CN110163146A - A kind of monitoring method and device based on characteristics of human body - Google Patents

A kind of monitoring method and device based on characteristics of human body Download PDF

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Publication number
CN110163146A
CN110163146A CN201910421645.5A CN201910421645A CN110163146A CN 110163146 A CN110163146 A CN 110163146A CN 201910421645 A CN201910421645 A CN 201910421645A CN 110163146 A CN110163146 A CN 110163146A
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human body
target
monitoring
video
information
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Inventor
黄永祯
史伟康
乔艳涛
侯康伟
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Yinhe shuidi Technology (Ningbo) Co.,Ltd.
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Watrix Technology Beijing Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/49Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
    • 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
    • G06V40/168Feature extraction; Face representation
    • 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
    • G06V40/172Classification, e.g. identification
    • 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
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • G06V40/23Recognition of whole body movements, e.g. for sport training
    • G06V40/25Recognition of walking or running movements, e.g. gait recognition
    • 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
    • H04N7/188Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Image Analysis (AREA)

Abstract

This application provides a kind of monitoring method and device based on characteristics of human body, comprising: the characteristics of human body of target object is obtained, and, receive the video image with monitored object filtered out in the slave monitor video that monitoring device uploads;Extract the characteristics of human body of at least one monitored object included in the video image;Calculate the fisrt feature similarity between the characteristics of human body of the target object and the characteristics of human body of each monitored object;The monitored object for determining that the fisrt feature similarity is greater than the first default similarity is target monitoring object, and transmission is to the information warning of the target monitoring object, it wherein, include the identification information for uploading the video frequency graphic monitoring equipment comprising the target monitoring object in the information warning.By the above method, monitoring efficiency can be improved.

Description

A kind of monitoring method and device based on characteristics of human body
Technical field
This application involves field of computer technology, more particularly, to a kind of monitoring method and device based on characteristics of human body.
Background technique
In the prior art, it when needing to carry out Gait Recognition to monitored object, is obtained generally by elder generation from monitoring device Then monitor video uploads onto the server monitor video, extracted by server to the gait feature in monitor video, so Gait Recognition is carried out according to the gait feature of extraction afterwards.By this method, because monitor video is larger, transmitting, monitoring video institute The time needed is more, therefore cannot achieve the real-time identification of the gait feature for monitored object.
Summary of the invention
In view of this, the application's is designed to provide a kind of monitoring method and device based on characteristics of human body, to improve Monitoring efficiency.
In a first aspect, the embodiment of the present application provides a kind of monitoring method based on characteristics of human body, comprising:
The characteristics of human body of target object is obtained, and, receive the band filtered out in the slave monitor video that monitoring device uploads There is the video image of monitored object;
Extract the characteristics of human body of at least one monitored object included in the video image;
Calculate the first spy between the characteristics of human body of the target object and the characteristics of human body of each monitored object Levy similarity;
The monitored object for determining that the fisrt feature similarity is greater than the first default similarity is target monitoring object, concurrently Send the information warning to the target monitoring object, wherein include uploading comprising the target monitoring pair in the information warning The identification information of the video frequency graphic monitoring equipment of elephant.
With reference to first aspect, the embodiment of the present application provides the first possible embodiment of first aspect, wherein institute Stating characteristics of human body includes gait feature and/or facial characteristics.
With reference to first aspect, the embodiment of the present application provides second of possible embodiment of first aspect, wherein After sending to the information warning of the target monitoring object, the method also includes:
Determine the time that the target monitoring object occurs in the video image;
Identification information and the target monitoring pair based on each monitoring device included in the information warning As the time occurred in each video image, determines the motion track information of the target object and send the moving rail Mark information.
With reference to first aspect, the embodiment of the present application provides the third possible embodiment of first aspect, wherein After the characteristics of human body for obtaining target object, the method also includes:
Calculate the target object characteristics of human body and the characteristics of human body in the physical characteristic data library constructed in advance the Two characteristic similarities, wherein at least one characteristics of human body and each characteristics of human body are stored in the physical characteristic data library Corresponding identity information;
The second feature similarity is greater than the characteristics of human body of the second default similarity in the physical characteristic data library In identity information be determined as the identity information of the target object;
The information warning further include: the identity information of the target object.
The third possible embodiment with reference to first aspect, the embodiment of the present application provide the 4th kind of first aspect Possible embodiment, wherein build the physical characteristic data library in the following way:
Obtain the face characteristic of sample object included in the monitor video of sample object;
Determine face characteristic object time appeared in the monitor video;
Obtain the target monitoring video apart from the object time within the scope of preset duration;
The gait feature of the sample object is extracted from the target monitoring video;
The identity information of the characteristics of human body of the sample object and the sample object are stored in the characteristics of human body In database;Wherein, the characteristics of human body includes the face characteristic and gait feature of the sample object.
Second aspect, the embodiment of the present application also provides a kind of monitoring devices based on characteristics of human body, comprising:
Module is obtained, for obtaining the characteristics of human body of target object, and, receive the slave monitor video that monitoring device uploads In the video image with monitored object that filters out;
Extraction module, for extracting the characteristics of human body of at least one monitored object included in the video image;
Computing module, for calculating the characteristics of human body of the target object and the characteristics of human body of each monitored object Between fisrt feature similarity;
Alarm module, the monitored object for determining that the fisrt feature similarity is greater than the first default similarity is target Monitored object, and send the information warning to the target monitoring object, wherein it include uploading comprising institute in the information warning State the identification information of the video frequency graphic monitoring equipment of target monitoring object.
In conjunction with second aspect, the embodiment of the present application provides the first possible embodiment of second aspect, wherein institute Stating characteristics of human body includes gait feature and/or facial characteristics.
In conjunction with second aspect, the embodiment of the present application provides second of possible embodiment of second aspect, wherein institute Alarm module is stated, is also used to:
After sending to the information warning of the target monitoring object, determine the target monitoring object in the video The time occurred in image;
Identification information and the target monitoring pair based on each monitoring device included in the information warning As the time occurred in each video image, determines the motion track information of the target object and send the moving rail Mark information.
In conjunction with second aspect, the embodiment of the present application provides the third possible embodiment of second aspect, wherein institute Acquisition module is stated, is also used to:
After the characteristics of human body for obtaining target object, the characteristics of human body of the target object and the people constructed in advance are calculated The second feature similarity of characteristics of human body in body characteristics database, wherein be stored at least in the physical characteristic data library One characteristics of human body and the corresponding identity information of each characteristics of human body;
The second feature similarity is greater than the characteristics of human body of the second default similarity in the physical characteristic data library In identity information be determined as the identity information of the target object;
The information warning further include: the identity information of the target object.
In conjunction with the third possible embodiment of second aspect, the embodiment of the present application provides the 4th kind of second aspect Possible embodiment, wherein described device, further includes:
Module is built, for building the physical characteristic data library in the following way:
Obtain the face characteristic of sample object included in the monitor video of sample object;
Determine face characteristic object time appeared in the monitor video;
Obtain the target monitoring video apart from the object time within the scope of preset duration;
The gait feature of the sample object is extracted from the target monitoring video;
The identity information of the characteristics of human body of the sample object and the sample object are stored in the characteristics of human body In database;Wherein, the characteristics of human body includes the face characteristic and gait feature of the sample object.
The third aspect, the embodiment of the present application also provide a kind of electronic equipment, comprising: processor, memory and bus, it is described Memory is stored with the executable machine readable instructions of the processor, when electronic equipment operation, the processor with it is described By bus communication between memory, the machine readable instructions executed when being executed by the processor it is above-mentioned in a first aspect, or Step in any possible embodiment of first aspect.
Fourth aspect, the embodiment of the present application also provide a kind of computer readable storage medium, the computer-readable storage medium Computer program is stored in matter, which executes above-mentioned in a first aspect, or first aspect when being run by processor Step in any possible embodiment.
Monitoring method and device provided by the embodiments of the present application based on characteristics of human body, is uploaded by received monitoring device Slave monitor video in the video image with monitored object that filters out, and extract at least one included in video image The characteristics of human body of monitored object, first be then based between the characteristics of human body of the target object of acquisition and the characteristics of human body of extraction Characteristic similarity, and the monitored object for determining that fisrt feature similarity is greater than the first default similarity is target monitoring object, and Send the information warning to target monitoring object.
In method provided by the present application, because transmission is not whole section of monitor video, but with monitored object Video image, it is therefore, time-consuming less in transmission process, and be compared to and extract characteristics of human body from whole section of monitor video, from view Extraction characteristics of human body's efficiency is higher in frequency image, and therefore, method provided by the present application may be implemented to identify in real time.
In addition, method provided by the present application is detecting that it is pre- that the fisrt feature similarity between target object is greater than first If when similarity, can send information warning, staff can chase after target monitoring object based on information warning in real time Track improves monitoring efficiency.
To enable the above objects, features, and advantages of the application to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate Appended attached drawing, is described in detail below.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the application, therefore is not construed as pair The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of flow diagram of the monitoring method based on characteristics of human body provided by the embodiment of the present application;
Fig. 2 shows a kind of flow diagrams of physical characteristic data library building method provided by the embodiment of the present application;
Fig. 3 shows a kind of configuration diagram of the monitoring device based on characteristics of human body provided by the embodiment of the present application;
Fig. 4 shows the structural schematic diagram of electronic equipment 400 provided by the embodiment of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application Middle attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only It is some embodiments of the present application, instead of all the embodiments.The application being usually described and illustrated herein in the accompanying drawings is real The component for applying example can be arranged and be designed with a variety of different configurations.Therefore, below to the application's provided in the accompanying drawings The detailed description of embodiment is not intended to limit claimed scope of the present application, but is merely representative of the selected reality of the application Apply example.Based on embodiments herein, those skilled in the art institute obtained without making creative work There are other embodiments, shall fall in the protection scope of this application.
In view of in the prior art, when carrying out Gait Recognition to monitored object, usually server first obtains monitoring view Frequently, then gait feature is extracted from monitor video again to be identified again.Because transmitting, monitoring video needs to expend more time, And extraction gait feature efficiency is lower from whole section of monitor video, therefore, is cannot achieve by this method for monitored object Real-time identification.
Based on this, this application provides a kind of monitoring methods based on characteristics of human body, can first be obtained by monitoring device screening The video image of monitored object is had in the monitor video got, then by the transmission of video images filtered out to server, clothes Business device carries out characteristics of human body's extraction to receiving video image again, and identifies to characteristics of human body.
In method provided by the present application, because transmission is not whole section of monitor video, but with monitored object Video image, it is therefore, time-consuming less in transmission process, and be compared to and extract characteristics of human body from whole section of monitor video, from view Extraction characteristics of human body's efficiency is higher in frequency image, and therefore, method provided by the present application may be implemented to identify in real time.
In addition, method provided by the present application is detecting that it is pre- that the fisrt feature similarity between target object is greater than first If when similarity, can send information warning, staff can chase after target monitoring object based on information warning in real time Track improves monitoring efficiency.
For convenient for understanding the present embodiment, first to a kind of based on characteristics of human body's disclosed in the embodiment of the present application Monitoring method describes in detail.
Embodiment one
It is shown in Figure 1, show for a kind of process of the monitoring method based on characteristics of human body provided by the embodiment of the present application It is intended to, comprising the following steps:
Step 101, the characteristics of human body for obtaining target object, and, it receives and is sieved in the slave monitor video that monitoring device uploads The video image with monitored object selected.
Wherein, characteristics of human body includes gait feature and/or facial characteristics.
Step 102, the characteristics of human body for extracting at least one monitored object included in video image.
First between step 103, the characteristics of human body for calculating target object and the characteristics of human body of each monitored object is special Levy similarity.
Step 104, the monitored object for determining that fisrt feature similarity is greater than the first default similarity are target monitoring object, And transmission is to the information warning of target monitoring object.
It wherein, include the identification information for uploading the video frequency graphic monitoring equipment comprising target monitoring object in information warning.
It is that step 101~step 104 is discussed in detail below.
For step 101:
In a kind of possible application scenarios, target object is the object of known identities information, in such a scenario, obtains mesh The characteristics of human body of mark object can be the identity information according to target object, and the human body that target object is obtained from database is special Sign.
In the application scenarios of another possibility, target object is that the object of unknown identity in such a scenario can be with The monitor video of target object is obtained, the characteristics of human body of target object is then extracted from monitor video.
If target object is the object of unknown identity, in a kind of possible embodiment, in the human body for obtaining target object After feature, the characteristics of human body of the target object and the human body spy in the physical characteristic data library constructed in advance can also be calculated Then the second feature similarity is greater than the characteristics of human body of the second default similarity described by the second feature similarity of sign Identity information in physical characteristic data library is determined as the identity information of the target object.Wherein, in physical characteristic data library It is stored at least one characteristics of human body and the corresponding identity information of each characteristics of human body;Finally sending target monitoring object When information warning, information warning can also include the identity information of the target object finally determined.
In one example of the application, video image extraction module can be configured in monitoring device, monitoring device passes through video Image zooming-out module filters out the video image with monitored object from monitor video.It in this way, can be to avoid general The process that whole section of monitor video is uploaded onto the server, improves efficiency of transmission.
For step 102:
It, may in video image in a kind of possible application scenarios if characteristics of human body includes gait feature and facial characteristics Including multiple monitored object, then when extracting the characteristics of human body of monitored object included in video image, can first extract every The facial characteristics of a monitored object, then extracts gait feature corresponding with facial characteristics again, then by the facial characteristics of extraction And characteristics of human body of the gait feature corresponding with facial characteristics as same monitored object.
For step 103:
If characteristics of human body only includes gait feature or only includes facial characteristics, in the characteristics of human body for calculating target object It, can be by the characteristics of human body of target object and every when fisrt feature similarity between the characteristics of human body of each monitored object The characteristics of human body of one monitored object matches, and using matched similarity as fisrt feature similarity.
If characteristics of human body includes gait feature and facial characteristics, in the characteristics of human body for calculating target object and each prison It, can be by the gait feature of target object and each monitoring pair when controlling the fisrt feature similarity between the characteristics of human body of object The gait feature of elephant is matched, and determines the similarity of gait feature, then by the facial characteristics of target object and each prison The facial characteristics of control object is matched, and determines the similarity of facial characteristics, then that the similarity of gait feature and face is special The similarity of sign is weighted summation according to default weight, and using summed result as fisrt feature similarity.
For step 104:
Wherein, the information warning for sending target monitoring object can be sent to display, be shown by display, It is also possible to be sent on pre-set terminal device, is shown by terminal device.Staff can believe according to warning Breath realizes the real time monitoring for target object, improves monitoring efficiency.
It, can also be really after sending to the information warning of the target monitoring object in a kind of possible embodiment The time that the fixed target monitoring object occurs in the video image, it is then based on each included in information warning The time that the identification information and target monitoring object of monitoring device occur in each video image, determine target object Motion track information and send motion track information.
In addition, the present embodiment additionally provides a kind of physical characteristic data library building method, participate in shown in Fig. 2, the application is real Apply a kind of flow diagram of physical characteristic data library building method provided by example, comprising:
Step 201, the face characteristic for obtaining sample object included in the monitor video of sample object.
Step 202 determines object time of the face characteristic appeared in monitor video.
Step 203 obtains target monitoring video of the distance objective moment within the scope of preset duration.
Step 204, the gait feature that sample object is extracted from target monitoring video.
The identity information of the characteristics of human body of sample object and sample object are stored in physical characteristic data by step 205 In library.
Wherein, the characteristics of human body includes the face characteristic and gait feature of the sample object.
Monitoring method provided by the embodiments of the present application based on characteristics of human body, the slave prison uploaded by received monitoring device The video image with monitored object filtered out in control video, and extract at least one monitoring pair included in video image The characteristics of human body of elephant, the fisrt feature phase being then based between the characteristics of human body of the target object of acquisition and the characteristics of human body of extraction Like degree, and determine that fisrt feature similarity is greater than the monitored object of the first default similarity for target monitoring object, and transmission pair The information warning of target monitoring object.
In method provided by the present application, because transmission is not whole section of monitor video, but with monitored object Video image, it is therefore, time-consuming less in transmission process, and be compared to and extract characteristics of human body from whole section of monitor video, from view Extraction characteristics of human body's efficiency is higher in frequency image, and therefore, method provided by the present application may be implemented to identify in real time.
In addition, method provided by the present application is detecting that it is pre- that the fisrt feature similarity between target object is greater than first If when similarity, can send information warning, staff can chase after target monitoring object based on information warning in real time Track improves monitoring efficiency.
Embodiment two
The present embodiment additionally provides a kind of monitoring device based on characteristics of human body, shown in Figure 3, is the embodiment of the present application A kind of configuration diagram of provided monitoring device based on characteristics of human body, including obtain module 301, extraction module 302, meter It calculates module 303, alarm module 304 and builds module 305, specific:
Obtain module 301, for obtaining the characteristics of human body of target object, and, receive that monitoring device uploads from monitoring The video image with monitored object filtered out in video;
Extraction module 302, for extracting the characteristics of human body of at least one monitored object included in the video image;
Computing module 303, for calculating the characteristics of human body of the target object and the human body of each monitored object Fisrt feature similarity between feature;
Alarm module 304, for determine the fisrt feature similarity be greater than the first default similarity monitored object be Target monitoring object, and send the information warning to the target monitoring object, wherein it include uploading packet in the information warning The identification information of video frequency graphic monitoring equipment containing the target monitoring object.
In a kind of possible design, the characteristics of human body includes gait feature and/or facial characteristics.
In a kind of possible design, the alarm module 304 is also used to:
After sending to the information warning of the target monitoring object, determine the target monitoring object in the video The time occurred in image;
Identification information and the target monitoring pair based on each monitoring device included in the information warning As the time occurred in each video image, determines the motion track information of the target object and send the moving rail Mark information.
In a kind of possible design, the acquisition module 301 is also used to:
After the characteristics of human body for obtaining target object, the characteristics of human body of the target object and the people constructed in advance are calculated The second feature similarity of characteristics of human body in body characteristics database, wherein be stored at least in the physical characteristic data library One characteristics of human body and the corresponding identity information of each characteristics of human body;
The second feature similarity is greater than the characteristics of human body of the second default similarity in the physical characteristic data library In identity information be determined as the identity information of the target object;
The information warning further include: the identity information of the target object.
In a kind of possible design, described device 305, further includes:
Module is built, for building the physical characteristic data library in the following way:
Obtain the face characteristic of sample object included in the monitor video of sample object;
Determine face characteristic object time appeared in the monitor video;
Obtain the target monitoring video apart from the object time within the scope of preset duration;
The gait feature of the sample object is extracted from the target monitoring video;
The identity information of the characteristics of human body of the sample object and the sample object are stored in the characteristics of human body In database;Wherein, the characteristics of human body includes the face characteristic and gait feature of the sample object.
Monitoring device provided by the embodiments of the present application based on characteristics of human body, the slave prison uploaded by received monitoring device The video image with monitored object filtered out in control video, and extract at least one monitoring pair included in video image The characteristics of human body of elephant, the fisrt feature phase being then based between the characteristics of human body of the target object of acquisition and the characteristics of human body of extraction Like degree, and determine that fisrt feature similarity is greater than the monitored object of the first default similarity for target monitoring object, and transmission pair The information warning of target monitoring object.
Because transmission is not whole section of monitor video, but has the video image of monitored object, therefore, transmission process Middle time-consuming is less, and is compared to and extracts characteristics of human body from whole section of monitor video, and characteristics of human body's effect is extracted from video image Rate is higher, and therefore, device provided by the present application may be implemented to identify in real time.
In addition, method provided by the present application is detecting that it is pre- that the fisrt feature similarity between target object is greater than first If when similarity, can send information warning, staff can chase after target monitoring object based on information warning in real time Track improves monitoring efficiency.
Embodiment three
Based on same technical concept, the embodiment of the present application also provides a kind of electronic equipment.It is this Shen referring to shown in Fig. 4 Please the structural schematic diagram of electronic equipment 400 that provides of embodiment, including processor 401, memory 402 and bus 403.Wherein, Memory 402 is executed instruction for storing, including memory 4021 and external memory 4022;Here memory 4021 is also referred to as memory Reservoir, for temporarily storing the operational data in processor 401, and the data exchanged with external memories 4022 such as hard disks, Processor 401 carries out data exchange by memory 4021 and external memory 4022, when electronic equipment 400 is run, processor It is communicated between 401 and memory 402 by bus 403, so that processor 401 is being executed to give an order:
The characteristics of human body of target object is obtained, and, receive the band filtered out in the slave monitor video that monitoring device uploads There is the video image of monitored object;
Extract the characteristics of human body of at least one monitored object included in the video image;
Calculate the first spy between the characteristics of human body of the target object and the characteristics of human body of each monitored object Levy similarity;
The monitored object for determining that the fisrt feature similarity is greater than the first default similarity is target monitoring object, concurrently Send the information warning to the target monitoring object, wherein include uploading comprising the target monitoring pair in the information warning The identification information of the video frequency graphic monitoring equipment of elephant.
In a kind of possible design, in the instruction that processor 401 executes, the characteristics of human body include gait feature and/or Facial characteristics.
In a kind of possible design, in the instruction that processor 401 executes, the warning to the target monitoring object is being sent After information, further includes:
Determine the time that the target monitoring object occurs in the video image;
Identification information and the target monitoring pair based on each monitoring device included in the information warning As the time occurred in each video image, determines the motion track information of the target object and send the moving rail Mark information.
In a kind of possible design, in the instruction that processor 401 executes, after the characteristics of human body for obtaining target object, Further include:
Calculate the target object characteristics of human body and the characteristics of human body in the physical characteristic data library constructed in advance the Two characteristic similarities, wherein at least one characteristics of human body and each characteristics of human body are stored in the physical characteristic data library Corresponding identity information;
The second feature similarity is greater than the characteristics of human body of the second default similarity in the physical characteristic data library In identity information be determined as the identity information of the target object;
The information warning further include: the identity information of the target object.
In a kind of possible design, in the instruction that processor 401 executes, characteristics of human body's number is built in the following way According to library:
Obtain the face characteristic of sample object included in the monitor video of sample object;
Determine face characteristic object time appeared in the monitor video;
Obtain the target monitoring video apart from the object time within the scope of preset duration;
The gait feature of the sample object is extracted from the target monitoring video;
The identity information of the characteristics of human body of the sample object and the sample object are stored in the characteristics of human body In database;Wherein, the characteristics of human body includes the face characteristic and gait feature of the sample object.
Example IV
The embodiment of the present application also provides a kind of computer readable storage medium, is stored on the computer readable storage medium Computer program, the computer program execute any of the above-described as described in the examples based on characteristics of human body's when being run by processor The step of monitoring method.
Specifically, which can be general storage medium, such as mobile disk, hard disk, on the storage medium Computer program when being run, the step of being able to carry out the above-mentioned monitoring method based on characteristics of human body, to improve monitoring effect Rate.
The computer program product of the monitoring method based on characteristics of human body is carried out provided by the embodiment of the present application, including is deposited The computer readable storage medium of the executable non-volatile program code of processor, the instruction that said program code includes are stored up It can be used for executing previous methods method as described in the examples, specific implementation can be found in embodiment of the method, and details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit, Only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for The mutual coupling, direct-coupling or communication connection of opinion can be through some communication interfaces, device or unit it is indirect Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product It is stored in the executable non-volatile computer-readable storage medium of a processor.Based on this understanding, the application Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words The form of product embodies, which is stored in a storage medium, including some instructions use so that One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the application State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. is various to deposit Store up the medium of program code.
Finally, it should be noted that embodiment described above, the only specific embodiment of the application, to illustrate the application Technical solution, rather than its limitations, the protection scope of the application is not limited thereto, although with reference to the foregoing embodiments to this Shen It please be described in detail, those skilled in the art should understand that: anyone skilled in the art Within the technical scope of the present application, it can still modify to technical solution documented by previous embodiment or can be light It is readily conceivable that variation or equivalent replacement of some of the technical features;And these modifications, variation or replacement, do not make The essence of corresponding technical solution is detached from the spirit and scope of the embodiment of the present application technical solution, should all cover the protection in the application Within the scope of.Therefore, the protection scope of the application shall be subject to the protection scope of the claim.

Claims (12)

1. a kind of monitoring method based on characteristics of human body characterized by comprising
The characteristics of human body of target object is obtained, and, receive the band filtered out in the slave monitor video data that monitoring device uploads There is the video image data of monitored object;
Extract the characteristics of human body of at least one monitored object included in the video image data;
Calculate the fisrt feature phase between the characteristics of human body of the target object and the characteristics of human body of monitored object described in each Like degree;
Determine that the fisrt feature similarity is greater than the monitored object of the first default similarity for target monitoring object, and transmission pair The information warning of the target monitoring object, wherein include uploading comprising the target monitoring object in the information warning The monitoring device identification information of video image.
2. the method according to claim 1, wherein the characteristics of human body includes that gait feature and/or face are special Sign.
3. the method according to claim 1, wherein send to the information warning of the target monitoring object it Afterwards, the method also includes:
Determine the time that the target monitoring object occurs in the video image;
Identification information and the target monitoring object based on each monitoring device included in the information warning exist The time occurred in each video image determines the motion track information of the target object and sends the motion track letter Breath.
4. the method according to claim 1, wherein obtain target object characteristics of human body after, the side Method further include:
Calculate the characteristics of human body of the target object and the second spy of the characteristics of human body in the physical characteristic data library constructed in advance Levy similarity, wherein be stored at least one characteristics of human body in the physical characteristic data library and each characteristics of human body is corresponding Identity information;
The second feature similarity is greater than the characteristics of human body of the second default similarity in the physical characteristic data library Identity information is determined as the identity information of the target object;
The information warning further include: the identity information of the target object.
5. according to the method described in claim 4, it is characterized in that, building the physical characteristic data library in the following way:
Obtain the face characteristic of sample object included in the monitor video of sample object;
Determine face characteristic object time appeared in the monitor video;
Obtain the target monitoring video apart from the object time within the scope of preset duration;
The gait feature of the sample object is extracted from the target monitoring video;
The identity information of the characteristics of human body of the sample object and the sample object are stored in the physical characteristic data In library;Wherein, the characteristics of human body includes the face characteristic and gait feature of the sample object.
6. a kind of monitoring device based on characteristics of human body characterized by comprising
Module is obtained, for obtaining the characteristics of human body of target object, and, it receives and is sieved in the slave monitor video that monitoring device uploads The video image with monitored object selected;
Extraction module, for extracting the characteristics of human body of at least one monitored object included in the video image;
Computing module, for calculating between the characteristics of human body of the target object and the characteristics of human body of each monitored object Fisrt feature similarity;
Alarm module, the monitored object for determining that the fisrt feature similarity is greater than the first default similarity is target monitoring Object, and send the information warning to the target monitoring object, wherein it include uploading comprising the mesh in the information warning Mark the identification information of the video frequency graphic monitoring equipment of monitored object.
7. device according to claim 6, which is characterized in that the characteristics of human body includes that gait feature and/or face are special Sign.
8. device according to claim 6, which is characterized in that the alarm module is also used to:
After sending to the information warning of the target monitoring object, determine the target monitoring object in the video image The time of middle appearance;
Identification information and the target monitoring object based on each monitoring device included in the information warning exist The time occurred in each video image determines the motion track information of the target object and sends the motion track letter Breath.
9. device according to claim 6, which is characterized in that the acquisition module is also used to:
After the characteristics of human body for obtaining target object, calculates the characteristics of human body of the target object and the human body constructed in advance is special Levy the second feature similarity of the characteristics of human body in database, wherein be stored at least one in the physical characteristic data library Characteristics of human body and the corresponding identity information of each characteristics of human body;
The second feature similarity is greater than the characteristics of human body of the second default similarity in the physical characteristic data library Identity information is determined as the identity information of the target object;
The information warning further include: the identity information of the target object.
10. device according to claim 9, which is characterized in that described device, further includes:
Module is built, for building the physical characteristic data library in the following way:
Obtain the face characteristic of sample object included in the monitor video of sample object;
Determine face characteristic object time appeared in the monitor video;
Obtain the target monitoring video apart from the object time within the scope of preset duration;
The gait feature of the sample object is extracted from the target monitoring video;
The identity information of the characteristics of human body of the sample object and the sample object are stored in the physical characteristic data In library;Wherein, the characteristics of human body includes the face characteristic and gait feature of the sample object.
11. a kind of electronic equipment characterized by comprising processor, memory and bus, the memory are stored with described The executable machine readable instructions of processor, when electronic equipment operation, by total between the processor and the memory Line communication, the machine readable instructions execute as claimed in claim 1 to 5 based on human body when being executed by the processor The step of monitoring method of feature.
12. a kind of computer readable storage medium, which is characterized in that be stored with computer journey on the computer readable storage medium Sequence, the computer program execute the monitoring side as claimed in claim 1 to 5 based on characteristics of human body when being run by processor The step of method.
CN201910421645.5A 2019-05-21 2019-05-21 A kind of monitoring method and device based on characteristics of human body Pending CN110163146A (en)

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