CN109634981A - A kind of database expansion method and device - Google Patents
A kind of database expansion method and device Download PDFInfo
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- CN109634981A CN109634981A CN201811512572.2A CN201811512572A CN109634981A CN 109634981 A CN109634981 A CN 109634981A CN 201811512572 A CN201811512572 A CN 201811512572A CN 109634981 A CN109634981 A CN 109634981A
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- target object
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
- G06V40/25—Recognition of walking or running movements, e.g. gait recognition
Abstract
This application provides a kind of database expansion method and devices, by the monitor video for obtaining target area；Then, the gait feature of each target object included in the monitor video is extracted；The identity attribute of each target object in the monitor video is obtained again, wherein the identity attribute is used to characterize the identity of the target object；The gait feature of each target object of extraction is matched with the gait feature stored in database respectively again；Finally, being based on the corresponding matching result of each target object, determine whether the gait feature of each target object stores in the database with corresponding identity attribute.In this way, the gait feature of multiple target objects in monitor video can be identified, reduces the limitation of gait feature acquisition, provides a kind of more convenient effective mode for gait feature database expansion.
Description
Technical field
This application involves technical field of data storage, more particularly, to a kind of database expansion method and device.
Background technique
Gait Recognition is as a kind of biometrics, the unique advantage that there are other biological authentication techniques not have,
It remains to identify target object in remote situation, and because gait is difficult to hide or pretend, so gait is known
Other accuracy rate is higher.
The application range of Gait Recognition greatly depends on gait feature number included in gait feature database
Amount number.In the prior art, gait feature acquisition is mainly by special to the gait of target object in particular place, fixed route
Sign is acquired, and can only acquire the gait feature of a target object every time, because of the limit of this gait feature acquisition mode
It makes, the quantity of gait feature included in gait feature database is simultaneously few.
Summary of the invention
In view of this, the application's is designed to provide a kind of database expansion method and device, to reduce existing gait
The limitation of collection apparatus.
In a first aspect, the embodiment of the present application provides a kind of database expansion method, comprising:
Obtain the monitor video of target area；
Extract the gait feature of each target object included in the monitor video；
Obtain the identity attribute of each target object in the monitor video, wherein the identity attribute is for characterizing
The identity of the target object；
The gait feature of each target object of extraction is matched with the gait feature stored in database respectively；
Based on the corresponding matching result of each target object, the gait feature of each target object and corresponding identity attribute are determined
Whether store in the database.
With reference to first aspect, the embodiment of the present application provides the first possible embodiment of first aspect, wherein institute
Stating identity attribute includes at least one of properties:
Name, gender, age, identification card number, home address, work unit.
With reference to first aspect, the embodiment of the present application provides second of possible embodiment of first aspect, wherein institute
It states based on the corresponding matching result of each target object, determines whether the gait feature of each target object is deposited with corresponding identity attribute
Storage is in the database, comprising:
When there is the candidate target object that it fails to match in the corresponding matching result of each target object, by the time
The gait feature of target object is selected to store in the database with corresponding identity attribute.
With reference to first aspect, the embodiment of the present application provides the third possible embodiment of first aspect, wherein institute
It states based on the corresponding matching result of each target object, determines whether the gait feature of each target object is deposited with corresponding identity attribute
Storage is in the database, comprising:
When, there is no when the candidate target object that it fails to match, determining number in the corresponding matching result of each target object
According to the gait feature and corresponding identity attribute for being stored with each target object in library, by each target pair of extraction
The gait feature of elephant is without storage.
The possible embodiment of second with reference to first aspect, the embodiment of the present application provide the 4th kind of first aspect
Possible embodiment, wherein the gait feature by the candidate target object is stored in number with corresponding identity attribute
According in library, comprising:
The corresponding relationship of user's input is obtained, the corresponding relationship is used to indicate in the monitor video and each target
The corresponding identity attribute of object；
According to the corresponding relationship, the corresponding identity attribute of the candidate target object is determined；
The gait feature of the candidate target object and the corresponding identity attribute of the candidate target object are stored into number
According to library.
Second aspect, the embodiment of the present application also provide a kind of database expansion device, comprising:
First obtains module, for obtaining the monitor video of target area；
Extraction module, for extracting the gait feature of each target object included in the monitor video；
Second obtains module, for obtaining the identity attribute of each target object in the monitor video, wherein described
Identity attribute is used to characterize the identity of the target object；
Matching module, the gait feature of each target object for will extract respectively with the gait feature that is stored in database
It is matched；
Memory module, for by the gait feature of each target object in the monitor video and each described target
Identity attribute corresponding to object stores in the database.
In conjunction with second aspect, the embodiment of the present application provides the first possible embodiment of second aspect, wherein institute
Stating identity attribute includes at least one of properties:
Name, gender, age, identification card number, home address, work unit.
In conjunction with second aspect, the embodiment of the present application provides second of possible embodiment of second aspect, wherein institute
State memory module, for being based on the corresponding matching result of each target object, determine the gait feature of each target object with it is corresponding
Identity attribute when whether storing in the database, be specifically used for:
When there is the candidate target object that it fails to match in the corresponding matching result of each target object, by the time
The gait feature of target object is selected to store in the database with corresponding identity attribute.
In conjunction with second aspect, the embodiment of the present application provides the third possible embodiment of second aspect, wherein institute
State memory module, for being based on the corresponding matching result of each target object, determine the gait feature of each target object with it is corresponding
Identity attribute when whether storing in the database, be specifically used for:
When, there is no when the candidate target object that it fails to match, determining number in the corresponding matching result of each target object
According to the gait feature and corresponding identity attribute for being stored with each target object in library, by each target pair of extraction
The gait feature of elephant is without storage.
In conjunction with second of possible embodiment of second aspect, the embodiment of the present application provides the 4th kind of second aspect
Possible embodiment, wherein the memory module, for by the gait feature of the candidate target object and corresponding body
When part attribute is stored in the database, it is specifically used for:
The corresponding relationship of user's input is obtained, the corresponding relationship is used to indicate in the monitor video and each target
The corresponding identity attribute of object；
According to the corresponding relationship, the corresponding identity attribute of the candidate target object is determined；
The gait feature of the candidate target object and the corresponding identity attribute of the candidate target object are stored into number
According to library.
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.
A kind of database expansion method and device provided by the embodiments of the present application, the monitoring by obtaining target area regard
Frequently, and the gait feature of each target object included in monitor video and the identity category of each target object are obtained
Property, then, the gait feature of each target object extracted will be matched with the gait feature stored in database respectively, most
Afterwards, it is based on the corresponding matching result of each target object, determines whether are the gait feature of each target object and corresponding identity attribute
Storage is in the database.By this method, the gait feature of multiple target objects in monitor video can be identified,
The limitation for reducing gait feature acquisition, provides a kind of more convenient effective mode for gait feature database expansion.
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 database expansion method provided by the embodiment of the present application；
Fig. 2 shows a kind of gait features and target target pair for storing target object provided by the embodiment of the present application
As the method flow diagram of corresponding gait feature；
Fig. 3 shows a kind of configuration diagram of database expansion device 300 provided by the embodiment of the present application；
Fig. 4 shows the structural schematic diagram of a kind 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, for the limitation of gait feature acquisition, existing gait feature database being caused to be wrapped
The gait feature contained is less, is based on this, the embodiment of the present application provides a kind of database expansion method and device, below by reality
Example is applied to be described.
For convenient for understanding the present embodiment, first to a kind of database expansion method disclosed in the embodiment of the present application
It describes in detail.
Embodiment one
It is shown in Figure 1, it is a kind of flow diagram of database expansion method provided by the embodiments of the present application, including with
Lower step:
S101, the monitor video for obtaining target area.
Wherein, the monitor video of acquisition can be obtained by common camera, can also be obtained by high-definition camera.
After obtaining monitor video, the target object occurred in monitor video can monitored by humanoid cutting techniques
It is labeled in video, Method of Gait Feature Extraction then is carried out to the monitor video with mark again.
In the prior art, when carrying out gait feature acquisition, video bat need to be carried out to specified region by high-definition camera
It takes the photograph, compared with prior art, the method limitation of acquisition gait feature provided herein is smaller, improves user experience.
S102, the gait feature for extracting each target object included in monitor video.
In a kind of possible embodiment, target object included in monitor video be it is multiple, then extracting target pair
When the gait feature of elephant, the gait feature for each target object that will occur in monitor video is needed to extract.
Wherein, the method for Method of Gait Feature Extraction include but are not limited to Method of Gait Feature Extraction algorithm based on Hough transformation,
Method of Gait Feature Extraction algorithm based on particle filter tracking and the Method of Gait Feature Extraction algorithm based on support vector machines, herein will not
It repeats again.
S103, the identity attribute for obtaining each target object in monitor video.
Wherein, above-mentioned identity attribute is included but are not limited to at least one of properties:
Name, gender, age, identification card number, home address, work unit.
In a kind of possible embodiment, target object can be manually entered target pair when carrying out gait feature registration
The identity attribute of elephant is manually entered name, gender, age, body before the monitor video of acquisition gait feature such as in registration
The information such as part card number.
S104, by the gait feature of each target object in monitor video identity category corresponding with each target object
Property storage in the database.
In specific implementation, the gait feature of each target object in monitor video is corresponding with each target object
Identity attribute storage in the database before, can also will be in the gait feature and database of each target object of extraction
The gait feature of storage is matched.
Because the region of acquisition monitor video is not specified region, target area has been likely to occur gait feature
Therefore the target object of storage in the database will store in the gait feature and database of each target object of extraction
Gait feature matched, can prevent gait feature repeat store.Matching result based on each target object determines
The processing mode of the gait feature of each target object and corresponding identity attribute.
A kind of possible embodiment, if the step in the gait feature and database of i-th of target object (i is positive integer)
State characteristic matching success, it is determined that be stored in database i-th of target object gait feature and corresponding identity
Attribute, then by the gait feature of i-th of target object of extraction without storage.
In the embodiment of another possibility, if the gait feature and data of j-th of target object (j is positive integer)
It fails to match for gait feature in library, it is determined that the not stored gait feature for having j-th of target object and correspondence in database
Identity attribute, then the gait feature of j-th of target object can be stored into database.
In the example of the application, by the gait feature of each target object in monitor video and each target object
Corresponding identity attribute storage in the database, is referred to method shown in Fig. 2, for j-th of the target pair that will be extracted
As and the identity attribute of j-th of target object stored when, comprising the following steps:
S201, the corresponding relationship for obtaining user's input.
It, can be with if obtaining the gait feature of multiple target objects in monitor video in a kind of possible embodiment
The gait feature of acquisition is numbered, and is labeled in monitor video.For example, identifying 5 targets in monitor video
Then the gait feature of object determines No. 1 corresponding A identity attribute, No. 2 correspondences respectively marked as No. 1, No. 2, No. 3, No. 4, No. 5
B identity attribute, No. 3 corresponding C identity attributes, No. 4 corresponding D identity attributes, No. 5 corresponding E identity attributes, identity attribute can be at this time
And specified attribute value is not included.
S202, according to corresponding relationship, determine the corresponding identity attribute of j-th of target object.
According to corresponding relationship, the corresponding identity attribute of target object can be inputted by user.For example, determining j-th of mesh
It is M that mark object, which corresponds to identity attribute number, then the specific object value of M identity attribute can be inputted by user, such as name:
Three, gender: male, age: 20 etc..
S203, the gait feature of j-th target object and the corresponding identity attribute of j-th of target object are stored into data
Library.
After determining the gait feature of j-th of target object and the identity attribute of j-th of target object, by j-th of target
The identity attribute of the gait feature of object and j-th of target object is stored into database as a whole.
A kind of database expansion method provided by the embodiments of the present application by obtaining the monitor video of target area, and obtains
Take the gait feature of each target object included in monitor video and the identity attribute of each target object, and
After determining the no storage in the database of the gait feature of target object, according to the corresponding relationship that user inputs, determine each
Gait feature corresponding to the identity attribute of a target object, and corresponding to the gait feature and target object by target object
Identity attribute storage in the database, by this method, can gait to multiple target objects in monitor video it is special
Sign is identified, the limitation of gait feature acquisition is reduced, and providing for gait feature database expansion a kind of more convenient has
The mode of effect.
Embodiment two
The embodiment of the present application provides a kind of database expansion device, shown in Figure 3, is provided by the embodiments of the present application
The configuration diagram of database expansion device 300, the device 300 include: the first acquisition module 301, extraction module 302, second
Obtain module 303, matching module 304 and memory module 305.
Specifically, first obtains mould 301, for obtaining the monitor video of target area；
Extraction module 302, for extracting the gait feature of each target object included in the monitor video；
Second obtains module 303, for obtaining the identity attribute of each target object in the monitor video, wherein
The identity attribute is used to characterize the identity of the target object；
Matching module 304, the gait feature of each target object for will extract respectively with the gait that is stored in database
Feature is matched；
Memory module 305, for by the gait feature of each target object in the monitor video and it is described each
Identity attribute corresponding to target object stores in the database.
Optionally, the memory module 305 determines each target for being based on the corresponding matching result of each target object
When whether the gait feature of object stores in the database with corresponding identity attribute, it is specifically used for:
When there is the candidate target object that it fails to match in the corresponding matching result of each target object, by the time
The gait feature of target object is selected to store in the database with corresponding identity attribute.
Optionally, the memory module 305 determines each target for being based on the corresponding matching result of each target object
When whether the gait feature of object stores in the database with corresponding identity attribute, it is specifically used for:
When, there is no when the candidate target object that it fails to match, determining number in the corresponding matching result of each target object
According to the gait feature and corresponding identity attribute for being stored with each target object in library, by each target pair of extraction
The gait feature of elephant is without storage.
Optionally, the memory module 305, for by the gait feature of the candidate target object and corresponding identity
When attribute is stored in the database, it is specifically used for:
The corresponding relationship of user's input is obtained, the corresponding relationship is used to indicate in the monitor video and each target
The corresponding identity attribute of object；
According to the corresponding relationship, the corresponding identity attribute of the candidate target object is determined；
The gait feature of the candidate target object and the corresponding identity attribute of the candidate target object are stored into number
According to library.
Provided device through this embodiment can carry out the gait feature of multiple target objects in monitor video
Identification reduces the limitation of gait feature acquisition, provides a kind of more convenient effective side for gait feature database expansion
Formula.
Embodiment three
As shown in figure 4, for the structural schematic diagram of a kind of electronic equipment 400 provided by the embodiment of the present application three, comprising: place
Manage device 401, memory 402 and bus 404；
Above-mentioned memory 402 is stored with the executable machine readable instructions of above-mentioned processor 401 (for example, including in Fig. 3
First acquisition module 301, the acquisition of extraction module 302, second module 303, matching module 304 and memory module 305 are corresponding
Execute instruction), it is logical by bus 404 between above-mentioned processor 401 and above-mentioned memory 402 when electronic equipment 400 is run
Letter executes following processing when above-mentioned machine readable instructions are executed by above-mentioned processor 401:
Obtain the monitor video of target area；
Extract the gait feature of each target object included in the monitor video；
Obtain the identity attribute of each target object in the monitor video, wherein the identity attribute is for characterizing
The identity of the target object；
The gait feature of each target object of extraction is matched with the gait feature stored in database respectively；
Based on the corresponding matching result of each target object, the gait feature of each target object and corresponding identity attribute are determined
Whether store in the database.
Optionally, the identity attribute includes at least one of properties:
Name, gender, age, identification card number, home address, work unit.
Optionally, described to be based on the corresponding matching result of each target object in the processing that processor 401 executes, it determines each
Whether the gait feature of target object stores in the database with corresponding identity attribute, comprising:
When there is the candidate target object that it fails to match in the corresponding matching result of each target object, by the time
The gait feature of target object is selected to store in the database with corresponding identity attribute.
Optionally, described to be based on the corresponding matching result of each target object in the processing that processor 401 executes, it determines each
Whether the gait feature of target object stores in the database with corresponding identity attribute, comprising:
When, there is no when the candidate target object that it fails to match, determining number in the corresponding matching result of each target object
According to the gait feature and corresponding identity attribute for being stored with each target object in library, by each target pair of extraction
The gait feature of elephant is without storage.
Optionally, processor 401 execute processing in, the gait feature by the candidate target object with it is corresponding
Identity attribute stores in the database, comprising:
The corresponding relationship of user's input is obtained, the corresponding relationship is used to indicate in the monitor video and each target
The corresponding identity attribute of object；
According to the corresponding relationship, the corresponding identity attribute of the candidate target object is determined；
The gait feature of the candidate target object and the corresponding identity attribute of the candidate target object are stored into number
According to library.
By the above method, the gait feature of multiple target objects in monitor video can be identified, reduce step
The limitation of state collection apparatus provides a kind of more convenient effective mode for gait feature database expansion.
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 database expansion method as described in the examples when being run by processor
The step of.
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 above-mentioned database expansion method, can be to multiple in monitor video
The gait feature of target object is identified, is reduced the limitation of gait feature acquisition, is provided for gait feature database expansion
A kind of more convenient effective mode.
The computer program product of database expansion method is carried out provided by the embodiment of the present application, including stores processing
The computer readable storage medium of the executable non-volatile program code of device, the instruction that said program code includes can be used for holding
Row 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 (10)
1. a kind of database expansion method characterized by comprising
Obtain the monitor video of target area；
Extract the gait feature of each target object included in the monitor video；
Obtain the identity attribute of each target object in the monitor video, wherein the identity attribute is described for characterizing
The identity of target object；
The gait feature of each target object of extraction is matched with the gait feature stored in database respectively；
Based on the corresponding matching result of each target object, determine whether are the gait feature of each target object and corresponding identity attribute
Storage is in the database.
2. the method according to claim 1, wherein the identity attribute includes at least one in properties
Kind:
Name, gender, age, identification card number, home address, work unit.
3. the method according to claim 1, wherein described be based on the corresponding matching result of each target object, really
Whether the gait feature of fixed each target object stores in the database with corresponding identity attribute, comprising:
When there is the candidate target object that it fails to match in the corresponding matching result of each target object, by the candidate mesh
The gait feature for marking object stores in the database with corresponding identity attribute.
4. the method according to claim 1, wherein described be based on the corresponding matching result of each target object, really
Whether the gait feature of fixed each target object stores in the database with corresponding identity attribute, comprising:
When, there is no when the candidate target object that it fails to match, determining database in the corresponding matching result of each target object
In be stored with each target object gait feature and corresponding identity attribute, by each target object of extraction
Gait feature is without storage.
5. according to the method described in claim 3, it is characterized in that, the gait feature by the candidate target object with it is right
The identity attribute storage answered is in the database, comprising:
The corresponding relationship of user's input is obtained, the corresponding relationship is used to indicate in the monitor video and each target object
Corresponding identity attribute；
According to the corresponding relationship, the corresponding identity attribute of the candidate target object is determined；
The gait feature of the candidate target object and the corresponding identity attribute of the candidate target object are stored into database.
6. a kind of database expansion device characterized by comprising
First obtains module, for obtaining the monitor video of target area；
Extraction module, for extracting the gait feature of each target object included in the monitor video；
Second obtains module, for obtaining the identity attribute of each target object in the monitor video, wherein the identity
Attribute is used to characterize the identity of the target object；
Matching module, for carrying out the gait feature of each target object extracted with the gait feature stored in database respectively
Matching；
Memory module, for by the gait feature of each target object in the monitor video and each described target object
Corresponding identity attribute storage is in the database.
7. device according to claim 6, which is characterized in that the memory module, for being based on each target object pair
The matching result answered, when determining whether the gait feature of each target object stores in the database with corresponding identity attribute, tool
Body is used for:
When there is the candidate target object that it fails to match in the corresponding matching result of each target object, by the candidate mesh
The gait feature for marking object stores in the database with corresponding identity attribute.
8. device according to claim 6, which is characterized in that the memory module, for being based on each target object pair
The matching result answered, when determining whether the gait feature of each target object stores in the database with corresponding identity attribute, tool
Body is used for:
When, there is no when the candidate target object that it fails to match, determining database in the corresponding matching result of each target object
In be stored with each target object gait feature and corresponding identity attribute, by each target object of extraction
Gait feature is without storage.
9. a kind of electronic equipment characterized by comprising processor, memory and bus, the memory are stored with the place
The executable machine readable instructions of device are managed, when electronic equipment operation, pass through bus between the processor and the memory
Communication, the machine readable instructions execute database expansion as claimed in claim 1 to 5 when being executed by the processor
The step of method.
10. 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 step of database expansion method as claimed in claim 1 to 5 when being run by processor
Suddenly.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110163146A (en) * | 2019-05-21 | 2019-08-23 | 银河水滴科技（北京）有限公司 | A kind of monitoring method and device based on characteristics of human body |
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| CN111461031A (en) * | 2020-04-03 | 2020-07-28 | 银河水滴科技（北京）有限公司 | Object recognition system and method |
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