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 PDFInfo
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- 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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- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G06V40/25—Recognition of walking or running movements, e.g. gait recognition
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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
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.
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