CN110147471A - Trace tracking method, device, computer equipment and storage medium based on video - Google Patents
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Abstract
The invention discloses trace tracking method, device, computer equipment and storage mediums based on video.This method comprises: receiving current user monitoring video collected by message-oriented middleware, user's path data is converted by the user monitoring video；It is indexed according to the user identification information of user's path data as major key correspondence establishment, user's path data is stored using user identification information as major key to database；And if detect the user information and query time section to be checked of institute's typing, obtain corresponding with user information to be checked user identification information, obtain user trajectory data corresponding with query time section in the database according to user identification information.The method achieve identifying to personage in the presence of monitor video, user's path data is converted into correspondence, convenient for drawing the path of user.
Description
Technical field
The present invention relates to technical field of biometric identification more particularly to it is a kind of by the trace tracking method of video, device, based on
Calculate machine equipment and storage medium.
Background technique
Currently, being monitored to the pedestrian travelled on road, generally by the height on the fixation device that road is arranged in
Clear camera obtains to acquire.By the monitor video of the magnanimity of acquisition, it is able to achieve and the local stroke of pedestrian is monitored.But
It is that the big data scale based on video increases, also only stores the monitor video of pedestrian, and realization not yet in effect is to pedestrian track
Effective tracking.I.e. when path analysis need to be carried out to specified pedestrian, it is artificial can only to check that the monitor video of magnanimity carries out
Analysis, leads to inefficiency.
Summary of the invention
The embodiment of the invention provides a kind of trace tracking method based on video, device, computer equipment and storages to be situated between
Matter, it is intended to which the monitor video for solving to acquire pedestrian in the prior art only saves, and divides when that need to carry out path to specified pedestrian
When analysis, the problem of monitor video of magnanimity is artificially analyzed, leads to inefficiency can only be checked.
In a first aspect, the embodiment of the invention provides a kind of trace tracking methods based on video comprising:
Current user monitoring video collected is received by message-oriented middleware, converts use for the user monitoring video
Family path data；
It is indexed according to the user identification information of user's path data as major key correspondence establishment, by the user
Path data is stored using user identification information as major key to database；And
If detecting the user information and query time section to be checked of institute's typing, obtain corresponding with user information to be checked
User identification information obtains user trajectory corresponding with query time section according to user identification information in the database
Data.
Second aspect, the embodiment of the invention provides a kind of track tracing devices based on video comprising:
Video conversion unit, for receiving current user monitoring video collected by message-oriented middleware, by the use
Family monitor video is converted into user's path data；
Data storage cell, for being built according to the user identification information of user's path data as major key correspondence
Lithol draws, and user's path data is stored using user identification information as major key to database；And
Track query unit, if for detecting typing user information and query time section to be checked, obtain with to
The corresponding user identification information of searching user's information, when obtained in the database according to user identification information with inquiry
Between the corresponding user trajectory data of section.
The third aspect, the embodiment of the present invention provide a kind of computer equipment again comprising memory, processor and storage
On the memory and the computer program that can run on the processor, the processor execute the computer program
Trace tracking method based on video described in the above-mentioned first aspect of Shi Shixian.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, wherein the computer can
It reads storage medium and is stored with computer program, it is above-mentioned that the computer program when being executed by a processor executes the processor
Based on the trace tracking method of video described in first aspect.
The embodiment of the invention provides a kind of trace tracking method based on video, device, computer equipment and storages to be situated between
Matter.This method includes that current user monitoring video collected is received by message-oriented middleware, and the user monitoring video is turned
Turn to user's path data；It is indexed according to the user identification information of user's path data as major key correspondence establishment,
User's path data is stored using user identification information as major key to database；And if detecting institute's typing
User information and query time section to be checked obtain corresponding with user information to be checked user identification information, according to
Family identity identification information obtains user trajectory data corresponding with query time section in the database.The method achieve to monitoring
Personage identifies in the presence of video, is converted into user's path data with correspondence, convenient for drawing the path of user.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the application scenarios schematic diagram of the trace tracking method provided in an embodiment of the present invention based on video；
Fig. 2 is the flow diagram of the trace tracking method provided in an embodiment of the present invention based on video；
Fig. 3 is the sub-process schematic diagram of the trace tracking method provided in an embodiment of the present invention based on video；
Fig. 4 is another sub-process schematic diagram of the trace tracking method provided in an embodiment of the present invention based on video；
Fig. 5 is the schematic block diagram of the track tracing device provided in an embodiment of the present invention based on video；
Fig. 6 is the subelement schematic block diagram of the track tracing device provided in an embodiment of the present invention based on video；
Fig. 7 is another subelement schematic block diagram of the track tracing device provided in an embodiment of the present invention based on video；
Fig. 8 is the schematic block diagram of computer equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this description of the invention merely for the sake of description specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
Fig. 1 and Fig. 2 are please referred to, Fig. 1 is the applied field of the trace tracking method provided in an embodiment of the present invention based on video
Scape schematic diagram；Fig. 2 is the flow diagram of the trace tracking method provided in an embodiment of the present invention based on video, should be based on video
Trace tracking method be applied to server in, this method is executed by the application software being installed in server.
As shown in Fig. 2, the method comprising the steps of S110~S130.
S110, current user monitoring video collected is received by message-oriented middleware, the user monitoring video is turned
Turn to user's path data；Wherein, user identification information, geographical coordinate number are included at least in user's path data
According to, user trajectory time point data.
In the present embodiment, the usage scenario for understanding technical solution in order to clearer is (such as to monitor the walking of pedestrian
For route track), involved terminal is introduced below.Wherein, in this application, it is angle from server
Carry out description technique scheme.
First is that server, message-oriented middleware, image recognition library and database are deployed in server.Message-oriented middleware is used for
The user monitoring video that receiving front-end acquisition device uploads, image recognition library are used to convert user path for user's path data
Data, and store after user's path data is established index to database.
Second is that front-end acquisition device, such as (these monitoring cameras are generally installed for the monitoring camera that is arranged on road
Entrance on pavement, the important monitoring place such as the starting point of crossing zebra stripes and terminal), for acquiring user monitoring video
And it is uploaded to Kafka message-oriented middleware (Kafka is that a kind of distributed post of high-throughput subscribes to message system, it can locate
Manage the everything flow data in the website of consumer's scale).
When server has received by the acquired user monitoring video of front-end acquisition device, after being converted into user's path data,
Effective monitoring can be carried out to the path of each user.
In one embodiment, as shown in figure 3, step S110 includes:
S111, obtain the corresponding corresponding geographical location information of front-end acquisition device of the user monitoring video, using as
Geographic coordinate data in user's path data；
S112, by the user monitoring video carry out video decomposition, obtain corresponding multiframe user monitoring picture；
S113, recognition of face is carried out to multiframe user monitoring picture, obtains user present in multiframe user monitoring picture
Identity identification information；
S114, the corresponding acquisition time of the user monitoring video is obtained, using as user's rail in user's path data
Mark time point data；
S115, by the corresponding each user identification information of the user monitoring video, with corresponding geographic coordinate data
And user trajectory time point data is assembled, and user's path data corresponding with each user identification information is obtained.
In the present embodiment, each front-end acquisition device needle in multiple front-end acquisition devices set by a certain crossing
When acquiring user monitoring video to the direction of its face, if existing by the user monitoring picture that user monitoring video decomposes
When character facial image, then it represents that recognition of face need to be carried out to user monitoring picture by server.Due to what is be arranged at the crossing
The geographical location information of multiple front-end acquisition devices is known, therefore can be by the multiple front-end acquisition devices being arranged at the crossing
Geographical location information determines the geographic coordinate data of user that the crossing occurs at present.
Due to directly can not directly carry out recognition of face to user monitoring video, need to regard user monitoring video at this time
Frequency division solution obtains corresponding multiframe user monitoring picture.
When each front-end acquisition device at the crossing acquires user monitoring video for the direction of its face later, if
Decomposing obtained user monitoring picture, there are when character facial image, then it represents that need to obtain current acquisition time using as user
User trajectory time point data in path data.User trajectory time point data, vivider can be understood as user at certain
One front-end acquisition device corresponding shooting time when being photographed.
Finally, each user identification information that will be identified, respectively with corresponding geographic coordinate data and user
Trajectory time point data is assembled, and user's path data corresponding with each user identification information is obtained.As it can be seen that each use
Three information are included at least in the path data of family, are user identification information, geographic coordinate data, user trajectory time respectively
Point data is connected by multiple user's path datas for same user, a certain user can be obtained sometime
The user trajectory of section.
In one embodiment, as shown in figure 4, step S113 includes:
S1131, gray correction and noise filtering are successively carried out to user monitoring picture, picture after being pre-processed；
S1132, picture feature vector corresponding with picture after the pretreatment is obtained by convolutional neural networks model；
S1133, the picture feature vector is compared with feature templates stored in face database, judges people
It is identical with the presence or absence of picture feature vector corresponding with picture after the pretreatment in stored feature templates in face database
Feature templates；
If there is figure corresponding with picture after the pretreatment in S1134, face database in stored feature templates
The identical feature templates of piece feature vector, obtain corresponding user identification information.
In the present embodiment, if being not present and picture after the pretreatment in stored feature templates in face database
The corresponding picture feature vector of picture after the pretreatment, then be added to by the identical feature templates of corresponding picture feature vector
Face database simultaneously sends notification information to the management end connecting with face database.
Image preprocessing for face is based on Face datection as a result, carrying out processing to image and finally serving feature
The process of extraction.The original image that server obtains tends not to directly due to being limited by various conditions and random disturbances
It uses, it is necessary to the image preprocessings such as gray correction, noise filtering be carried out to it in the early stage of image procossing.For face figure
As for, preprocessing process mainly includes the light compensation of facial image, greyscale transformation, histogram equalization, normalization, several
What correction, filtering and sharpening etc..
When obtaining the feature vector of picture, picture element matrix corresponding with picture after the pretreatment of each frame is first obtained, then
Using the corresponding picture element matrix of picture after the pretreatment of each frame as the input of input layer in convolutional neural networks model, obtain multiple
Characteristic pattern is inputted pond layer later, obtains one-dimensional row vector corresponding to the corresponding maximum value of each characteristic pattern, finally by characteristic pattern
One-dimensional row vector corresponding to the corresponding maximum value of each characteristic pattern is input to full articulamentum, obtains scheming after pre-processing with each frame
The corresponding picture feature vector of piece.
Since the face picture for storing the magnanimity acquired in feature templates stored in face database is corresponding
Feature vector namely everyone face correspond to unique feature vector, and the feature templates for having these magnanimity are data
Behind basis, it may be used to determine the corresponding one or more people of picture after pretreatment, to realize recognition of face.
Finally, obtained user identification information can be the identification card number of user, due to the identity of each citizen
Card number is uniquely, to can be used as its unique identifier.
In one embodiment, after step S110, further includes:
User's path data is stored into the volatile data base created in the message-oriented middleware；Wherein, institute
Stating message-oriented middleware is that distributed post subscribes to message-oriented middleware.
In the present embodiment, the message-oriented middleware is that distributed post subscribes to message-oriented middleware (distributed post subscription
Message-oriented middleware, that is, Kafka message-oriented middleware), what Kafka message-oriented middleware can be vivid is interpreted as a big pond, constantly
It produces, store, consuming various types of other message, is i.e. the producer writes message, consumption toward queue (i.e. the pond of image understanding) is inner
Person takes message to carry out service logic in queue.Interim storage number by Kafka message-oriented middleware as user's path data
According to effectively corresponding data mart modeling and processing can be carried out to user's path data.
S120, it is indexed according to the user identification information of user's path data as major key correspondence establishment, by institute
User's path data is stated to be stored using user identification information as major key to database；Wherein, institute is stored in the database
State the index name in the tables of data of user's path data using user identification information corresponding field as the index.
In the present embodiment, when being indexed according to the user identification information correspondence establishment in user's path data, tool
Body process is similar to the catalogue of creation books.It is catalogue before a book that i.e. database index, which cans be compared to, can accelerate database
Inquiry velocity.Index is to column one or more in database table (for example, the user identification information of user's path data table
Column) the structure that is ranked up of value.If user need to be searched by the user identification information of user, and institute is searched in table
Some rows are compared, and index helps quickly to obtain information.Major key will be automatically created by defining major key with user identification information
Index, when using major key index in queries, it also allows the quick access to data.
If S130, the user information and query time section to be checked for detecting institute's typing, obtain and user information to be checked
Corresponding user identification information obtains use corresponding with query time section according to user identification information in the database
Family track data.
In the present embodiment, when the user trajectory in certain time period for needing to inquire some user or multiple users
When, it can typing user information to be checked in the following manner: first is that the identification card number of user to be checked is directly inputted, second is that defeated
Enter the head portrait photo of user to be checked, third is that inputting the monitor video (need to include face's video of user) of user to be checked, leads to
It crosses at least the above three kinds of mode typings user information to be checked, and typing or has selected query time section, it at this time can will be upper
It states and uniformly identifies and be converted into user identification information, when being obtained in the database according to user identification information with inquiring
Between the corresponding user trajectory data of section；Wherein, the user trajectory data are user's corresponding each geography in query time section
Coordinate data is sequentially connected in series each geographic coordinate data according to chronological order to form user trajectory data.
In one embodiment, step S130 includes:
Acquired multiple geographic coordinate datas corresponding with query time section are rendered on electronic map, according to the time
Sequencing is sequentially connected in series each geographic coordinate data to form user's map track.
In the present embodiment, in order to more intuitively show the track of user, what can be will acquire is corresponding with query time section
Multiple user's path datas rendered on electronic map according to geographic coordinate data, and be sequentially connected in series according to chronological order
Each geographic coordinate data is to form user's map track (user's map track i.e. user trajectory data).In this way, by user
The mode of figure track can more intuitively realize that the formation track to goal task is drawn.
The method achieve identifying to personage in the presence of monitor video, user's path data is converted into correspondence,
Convenient for drawing the path of user.
The embodiment of the present invention also provides a kind of track tracing device based on video, should the track tracing device based on video
For executing any embodiment of the aforementioned trace tracking method based on video.Specifically, referring to Fig. 5, Fig. 5 is of the invention real
The schematic block diagram of the track tracing device based on video of example offer is provided.The track tracing device 100 based on video can be with
It is configured in server.
As shown in figure 5, the track tracing device 100 based on video includes video conversion unit 110, data storage cell
120, track query unit 130.
Video conversion unit 110 will be described for receiving current user monitoring video collected by message-oriented middleware
User monitoring video is converted into user's path data；Wherein, user identity identification is included at least in user's path data to believe
Breath, geographic coordinate data, user trajectory time point data.
In the present embodiment, when server has received by the acquired user monitoring video of front-end acquisition device, it is converted into use
After the path data of family, effective monitoring can be carried out to the path of each user.
In one embodiment, as shown in fig. 6, video conversion unit 110 includes:
Positioning unit 111, for obtaining the corresponding corresponding geographical location of front-end acquisition device of the user monitoring video
Information, using as the geographic coordinate data in user's path data；
Video decomposition unit 112, for obtaining corresponding multiframe by carrying out video decomposition to the user monitoring video
User monitoring picture；
Face identification unit 113 obtains multiframe user monitoring figure for carrying out recognition of face to multiframe user monitoring picture
User identification information present in piece；
Time point acquiring unit 114, for obtaining the corresponding acquisition time of the user monitoring video, using as user road
User trajectory time point data in diameter data；
Data assembling unit 115, it is and corresponding for by the corresponding each user identification information of the user monitoring video
Geographic coordinate data and user trajectory time point data assembled, obtain user corresponding with each user identification information
Path data.
In the present embodiment, each front-end acquisition device needle in multiple front-end acquisition devices set by a certain crossing
When acquiring user monitoring video to the direction of its face, if existing by the user monitoring picture that user monitoring video decomposes
When character facial image, then it represents that recognition of face need to be carried out to user monitoring picture by server.Due to what is be arranged at the crossing
The geographical location information of multiple front-end acquisition devices is known, therefore can be by the multiple front-end acquisition devices being arranged at the crossing
Geographical location information determines the geographic coordinate data of user that the crossing occurs at present.
Due to directly can not directly carry out recognition of face to user monitoring video, need to regard user monitoring video at this time
Frequency division solution obtains corresponding multiframe user monitoring picture.
When each front-end acquisition device at the crossing acquires user monitoring video for the direction of its face later, if
Decomposing obtained user monitoring picture, there are when character facial image, then it represents that need to obtain current acquisition time using as user
User trajectory time point data in path data.User trajectory time point data, vivider can be understood as user at certain
One front-end acquisition device corresponding shooting time when being photographed.
Finally, each user identification information that will be identified, respectively with corresponding geographic coordinate data and user
Trajectory time point data is assembled, and user's path data corresponding with each user identification information is obtained.As it can be seen that each use
Three information are included at least in the path data of family, are user identification information, geographic coordinate data, user trajectory time respectively
Point data is connected by multiple user's path datas for same user, a certain user can be obtained sometime
The user trajectory of section.
In one embodiment, as shown in fig. 7, face identification unit 113 includes:
Picture pretreatment unit 1131 is obtained for successively carrying out gray correction and noise filtering to user monitoring picture
Picture after pretreatment；
Picture feature extraction unit 1132, for being obtained and picture pair after the pretreatment by convolutional neural networks model
The picture feature vector answered；
Feature comparing unit 1133 is used for stored feature templates in the picture feature vector and face database
It is compared, judges to whether there is figure corresponding with picture after the pretreatment in face database in stored feature templates
The identical feature templates of piece feature vector；
Discrimination information acquisition unit 1134, if for exist in stored feature templates in face database with it is described pre-
The identical feature templates of the corresponding picture feature vector of picture, obtain corresponding user identification information after processing.
It in the present embodiment, is based on Face datection as a result, being handled simultaneously image for the image preprocessing of face
Finally serve the process of feature extraction.The original image that server obtains by various conditions due to being limited and being done at random
It disturbs, tends not to directly use, it is necessary to which it is pre- to carry out the images such as gray correction, noise filtering to it in the early stage of image procossing
Processing.For facial image, preprocessing process mainly includes light compensation, the greyscale transformation, histogram of facial image
Equalization, normalization, geometric correction, filtering and sharpening etc..
When obtaining the feature vector of picture, picture element matrix corresponding with picture after the pretreatment of each frame is first obtained, then
Using the corresponding picture element matrix of picture after the pretreatment of each frame as the input of input layer in convolutional neural networks model, obtain multiple
Characteristic pattern is inputted pond layer later, obtains one-dimensional row vector corresponding to the corresponding maximum value of each characteristic pattern, finally by characteristic pattern
One-dimensional row vector corresponding to the corresponding maximum value of each characteristic pattern is input to full articulamentum, obtains scheming after pre-processing with each frame
The corresponding picture feature vector of piece.
Since the face picture for storing the magnanimity acquired in feature templates stored in face database is corresponding
Feature vector namely everyone face correspond to unique feature vector, and the feature templates for having these magnanimity are data
Behind basis, it may be used to determine the corresponding one or more people of picture after pretreatment, to realize recognition of face.
Finally, obtained user identification information can be the identification card number of user, due to the identity of each citizen
Card number is uniquely, to can be used as its unique identifier.
In one embodiment, the track tracing device 100 based on video further include:
Temporary storage cell, it is interim for storing user's path data to what is created in the message-oriented middleware
In database；Wherein, the message-oriented middleware is that distributed post subscribes to message-oriented middleware.
In the present embodiment, the message-oriented middleware is that distributed post subscribes to message-oriented middleware (distributed post subscription
Message-oriented middleware, that is, Kafka message-oriented middleware), what Kafka message-oriented middleware can be vivid is interpreted as a big pond, constantly
It produces, store, consuming various types of other message, is i.e. the producer writes message, consumption toward queue (i.e. the pond of image understanding) is inner
Person takes message to carry out service logic in queue.Interim storage number by Kafka message-oriented middleware as user's path data
According to effectively corresponding data mart modeling and processing can be carried out to user's path data.
Data storage cell 120, for according to the user identification information of user's path data as major key pair
Index should be established, user's path data is stored using user identification information as major key to database；Wherein, described
It is stored in database in the tables of data of user's path data using user identification information corresponding field as the index
Index name.
In the present embodiment, when being indexed according to the user identification information correspondence establishment in user's path data, tool
Body process is similar to the catalogue of creation books.It is catalogue before a book that i.e. database index, which cans be compared to, can accelerate database
Inquiry velocity.Index is to column one or more in database table (for example, the user identification information of user's path data table
Column) the structure that is ranked up of value.If user need to be searched by the user identification information of user, and institute is searched in table
Some rows are compared, and index helps quickly to obtain information.Major key will be automatically created by defining major key with user identification information
Index, when using major key index in queries, it also allows the quick access to data.
Track query unit 130, if for detecting typing user information and query time section to be checked, obtain with
The corresponding user identification information of user information to be checked obtains and inquiry in the database according to user identification information
Period corresponding user trajectory data.
In the present embodiment, when the user trajectory in certain time period for needing to inquire some user or multiple users
When, it can typing user information to be checked in the following manner: first is that the identification card number of user to be checked is directly inputted, second is that defeated
Enter the head portrait photo of user to be checked, third is that inputting the monitor video (need to include face's video of user) of user to be checked, leads to
It crosses at least the above three kinds of mode typings user information to be checked, and typing or has selected query time section, it at this time can will be upper
It states and uniformly identifies and be converted into user identification information, when being obtained in the database according to user identification information with inquiring
Between the corresponding user trajectory data of section；Wherein, the user trajectory data are user's corresponding each geography in query time section
Coordinate data is sequentially connected in series each geographic coordinate data according to chronological order to form user trajectory data.
In one embodiment, track query unit 130 is also used to:
Acquired multiple geographic coordinate datas corresponding with query time section are rendered on electronic map, according to the time
Sequencing is sequentially connected in series each geographic coordinate data to form user's map track.
In the present embodiment, in order to more intuitively show the track of user, what can be will acquire is corresponding with query time section
Multiple user's path datas rendered on electronic map according to geographic coordinate data, and be sequentially connected in series according to chronological order
Each geographic coordinate data is to form user's map track (user's map track i.e. user trajectory data).In this way, by user
The mode of figure track can more intuitively realize that the formation track to goal task is drawn.
The arrangement achieves identifying to personage in the presence of monitor video, user's path data is converted into correspondence,
Convenient for drawing the path of user.
The above-mentioned track tracing device based on video can be implemented as the form of computer program, which can be with
It is run in computer equipment as shown in Figure 8.
Referring to Fig. 8, Fig. 8 is the schematic block diagram of computer equipment provided in an embodiment of the present invention.The computer equipment
500 be server, and server can be independent server, is also possible to the server cluster of multiple server compositions.
Refering to Fig. 8, which includes processor 502, memory and the net connected by system bus 501
Network interface 505, wherein memory may include non-volatile memory medium 503 and built-in storage 504.
The non-volatile memory medium 503 can storage program area 5031 and computer program 5032.The computer program
5032 are performed, and processor 502 may make to execute the trace tracking method based on video.
The processor 502 supports the operation of entire computer equipment 500 for providing calculating and control ability.
The built-in storage 504 provides environment for the operation of the computer program 5032 in non-volatile memory medium 503, should
When computer program 5032 is executed by processor 502, processor 502 may make to execute the trace tracking method based on video.
The network interface 505 is for carrying out network communication, such as the transmission of offer data information.Those skilled in the art can
To understand, structure shown in Fig. 8, only the block diagram of part-structure relevant to the present invention program, is not constituted to this hair
The restriction for the computer equipment 500 that bright scheme is applied thereon, specific computer equipment 500 may include than as shown in the figure
More or fewer components perhaps combine certain components or with different component layouts.
Wherein, the processor 502 is for running computer program 5032 stored in memory, to realize following function
Can: current user monitoring video collected is received by message-oriented middleware, converts user road for the user monitoring video
Diameter data；It is indexed according to the user identification information of user's path data as major key correspondence establishment, by the user
Path data is stored using user identification information as major key to database；And if detecting the user to be checked of institute's typing
Information and query time section obtain user identification information corresponding with user information to be checked, according to user identity identification
Information obtains user trajectory data corresponding with query time section in the database.
In one embodiment, processor 502 is executing the step for converting user monitoring video to user's path data
It when rapid, performs the following operations: obtaining the corresponding corresponding geographical location information of front-end acquisition device of the user monitoring video, with
As the geographic coordinate data in user's path data；By carrying out video decomposition to the user monitoring video, corresponded to
Multiframe user monitoring picture；Recognition of face is carried out to multiframe user monitoring picture, obtains existing in multiframe user monitoring picture
User identification information；The corresponding acquisition time of the user monitoring video is obtained, as in user's path data
User trajectory time point data；By the corresponding each user identification information of the user monitoring video, with corresponding geographical seat
Mark data and user trajectory time point data are assembled, and user's number of path corresponding with each user identification information is obtained
According to.
In one embodiment, processor 502 is described to the progress recognition of face of multiframe user monitoring picture in execution, obtains more
Framed user monitor picture present in user identification information step when, perform the following operations: to user monitoring picture according to
Secondary progress gray correction and noise filtering, picture after being pre-processed；It is obtained and the pre- place by convolutional neural networks model
The corresponding picture feature vector of picture after reason；By stored feature templates in the picture feature vector and face database into
Row compares, and judges to whether there is picture corresponding with picture after the pretreatment in face database in stored feature templates
The identical feature templates of feature vector；If existing and picture after the pretreatment in stored feature templates in face database
The identical feature templates of corresponding picture feature vector, obtain corresponding user identification information.
In one embodiment, processor 502 described receives current user's prison collected by message-oriented middleware executing
After the step of controlling video, converting user's path data for the user monitoring video, also perform the following operations: by the use
Family path data is stored into the volatile data base created in the message-oriented middleware；Wherein, the message-oriented middleware is point
Cloth distribution subscription message-oriented middleware.
In one embodiment, processor 502 execute it is described is obtained in the database according to user identification information and
After the step of query time section corresponding user trajectory data, also perform the following operations: by acquired and query time section
Corresponding multiple geographic coordinate datas render on electronic map, are sequentially connected in series each geographic coordinate data according to chronological order
To form user's map track.
It will be understood by those skilled in the art that the embodiment of computer equipment shown in Fig. 8 is not constituted to computer
The restriction of equipment specific composition, in other embodiments, computer equipment may include components more more or fewer than diagram, or
Person combines certain components or different component layouts.For example, in some embodiments, computer equipment can only include depositing
Reservoir and processor, in such embodiments, the structure and function of memory and processor are consistent with embodiment illustrated in fig. 8,
Details are not described herein.
It should be appreciated that in embodiments of the present invention, processor 502 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..Wherein, general processor can be microprocessor or
Person's processor is also possible to any conventional processor etc..
Computer readable storage medium is provided in another embodiment of the invention.The computer readable storage medium can be with
For non-volatile computer readable storage medium.The computer-readable recording medium storage has computer program, wherein calculating
Machine program performs the steps of when being executed by processor receives current user monitoring video collected by message-oriented middleware,
User's path data is converted by the user monitoring video；Made according to the user identification information of user's path data
For major key correspondence establishment index, user's path data is stored using user identification information as major key to database；
And if detect the user information and query time section to be checked of institute's typing, obtain corresponding with user information to be checked user
Identity identification information obtains user trajectory number corresponding with query time section according to user identification information in the database
According to.
In one embodiment, described to convert user's path data for user monitoring video, comprising: to obtain user's prison
The corresponding corresponding geographical location information of front-end acquisition device of video is controlled, using as the geographical coordinate number in user's path data
According to；By carrying out video decomposition to the user monitoring video, corresponding multiframe user monitoring picture is obtained；Multiframe user is supervised
It controls picture and carries out recognition of face, obtain user identification information present in multiframe user monitoring picture；Obtain the user
The corresponding acquisition time of monitor video, using as the user trajectory time point data in user's path data；The user is supervised
The corresponding each user identification information of video is controlled, carries out group with corresponding geographic coordinate data and user trajectory time point data
Dress, obtains user's path data corresponding with each user identification information.
In one embodiment, described that recognition of face is carried out to multiframe user monitoring picture, obtain multiframe user monitoring picture
Present in user identification information, comprising: gray correction and noise filtering are successively carried out to user monitoring picture, obtained pre-
Picture after processing；Picture feature vector corresponding with picture after the pretreatment is obtained by convolutional neural networks model；By institute
It states picture feature vector to be compared with feature templates stored in face database, judge stored in face database
It whether there is the identical feature templates of picture feature vector corresponding with picture after the pretreatment in feature templates；If face number
According in feature templates stored in library exist the identical character modules of picture feature vector corresponding with picture after the pretreatment
Plate obtains corresponding user identification information.
In one embodiment, described that current user monitoring video collected is received by message-oriented middleware, by the use
Family monitor video is converted into after user's path data, further includes: stores user's path data in the message
Between in the volatile data base that creates in part；Wherein, the message-oriented middleware is that distributed post subscribes to message-oriented middleware.
In one embodiment, it is described obtained in the database according to user identification information it is corresponding with query time section
After user trajectory data, further includes: acquired multiple geographic coordinate datas corresponding with query time section are rendered to electricity
On sub- map, each geographic coordinate data is sequentially connected in series according to chronological order to form user's map track.
It is apparent to those skilled in the art that for convenience of description and succinctly, foregoing description is set
The specific work process of standby, device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
Those of ordinary skill in the art may be aware that unit described in conjunction with the examples disclosed in the embodiments of the present disclosure and algorithm
Step can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and software
Interchangeability generally describes each exemplary composition and step according to function in the above description.These functions are studied carefully
Unexpectedly the specific application and design constraint depending on technical solution are implemented in hardware or software.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In several embodiments provided by the present invention, it should be understood that disclosed unit and method, it can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only logical function partition, there may be another division manner in actual implementation, can also will be with the same function
Unit set is at a unit, such as multiple units or components can be combined or can be integrated into another system or some
Feature can be ignored, or not execute.In addition, shown or discussed mutual coupling, direct-coupling or communication connection can
Be through some interfaces, the indirect coupling or communication connection of device or unit, be also possible to electricity, mechanical or other shapes
Formula connection.
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.Some or all of unit therein can be selected to realize the embodiment of the present invention according to the actual needs
Purpose.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, is also possible to two or more units and is integrated in one unit.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in one storage medium.Based on this understanding, technical solution of the present invention is substantially in other words to existing
The all or part of part or the technical solution that technology contributes can be embodied in the form of software products, should
Computer software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be
Personal computer, server or network equipment etc.) execute all or part of step of each embodiment the method for the present invention
Suddenly.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), magnetic disk or
The various media that can store program code such as person's CD.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (10)
1. a kind of trace tracking method based on video characterized by comprising
Current user monitoring video collected is received by message-oriented middleware, converts user road for the user monitoring video
Diameter data；Wherein, user identification information, geographic coordinate data, user trajectory are included at least in user's path data
Time point data；
It is indexed according to the user identification information of user's path data as major key correspondence establishment, by the user path
Data are stored using user identification information as major key to database；Wherein, the user path is stored in the database
Using user identification information corresponding field as the index name of the index in the tables of data of data；And
If detecting the user information and query time section to be checked of institute's typing, user corresponding with user information to be checked is obtained
Identity identification information obtains user trajectory number corresponding with query time section according to user identification information in the database
According to.
2. the trace tracking method according to claim 1 based on video, which is characterized in that described by user monitoring video
It is converted into user's path data, comprising:
The corresponding corresponding geographical location information of front-end acquisition device of the user monitoring video is obtained, using as user's number of path
Geographic coordinate data in；
By carrying out video decomposition to the user monitoring video, corresponding multiframe user monitoring picture is obtained；
Recognition of face is carried out to multiframe user monitoring picture, obtains the letter of user identity identification present in multiframe user monitoring picture
Breath；
The corresponding acquisition time of the user monitoring video is obtained, to count as the user trajectory time in user's path data
According to；
By the corresponding each user identification information of the user monitoring video, with corresponding geographic coordinate data and user trajectory
Time point data is assembled, and user's path data corresponding with each user identification information is obtained.
3. the trace tracking method according to claim 2 based on video, which is characterized in that described to multiframe user monitoring
Picture carries out recognition of face, obtains user identification information present in multiframe user monitoring picture, comprising:
Gray correction and noise filtering are successively carried out to user monitoring picture, picture after being pre-processed；
Picture feature vector corresponding with picture after the pretreatment is obtained by convolutional neural networks model；
The picture feature vector is compared with feature templates stored in face database, is judged in face database
It whether there is the identical feature templates of picture feature vector corresponding with picture after the pretreatment in stored feature templates；
If there is picture feature vector corresponding with picture after the pretreatment in face database in stored feature templates
Identical feature templates obtain corresponding user identification information.
4. the trace tracking method according to claim 1 based on video, which is characterized in that described to pass through message-oriented middleware
Current user monitoring video collected is received, converts the user monitoring video to after user's path data, further includes:
User's path data is stored into the volatile data base created in the message-oriented middleware；Wherein, described to disappear
Ceasing middleware is that distributed post subscribes to message-oriented middleware.
5. the trace tracking method according to claim 1 based on video, which is characterized in that described to be known according to user identity
Other information is obtained in the database after user trajectory data corresponding with query time section, further includes:
Acquired multiple geographic coordinate datas corresponding with query time section are rendered on electronic map, according to time order and function
Sequence is sequentially connected in series each geographic coordinate data to form user's map track.
6. a kind of track tracing device based on video characterized by comprising
Video conversion unit supervises the user for receiving current user monitoring video collected by message-oriented middleware
Control video is converted into user's path data；Wherein, user identification information, geography are included at least in user's path data
Coordinate data, user trajectory time point data；
Data storage cell, for the user identification information according to user's path data as major key correspondence establishment rope
Draw, user's path data is stored using user identification information as major key to database；Wherein, in the database
Store the index name in the tables of data of user's path data using user identification information corresponding field as the index
Claim；And
Track query unit, if for detecting typing user information and query time section to be checked, obtain with it is to be checked
The corresponding user identification information of user information, obtains and query time section in the database according to user identification information
Corresponding user trajectory data.
7. the track tracing device according to claim 6 based on video, which is characterized in that the video conversion unit,
Include:
Positioning unit, for obtaining the corresponding corresponding geographical location information of front-end acquisition device of the user monitoring video, with
As the geographic coordinate data in user's path data；
Video decomposition unit, for obtaining corresponding multiframe user prison by carrying out video decomposition to the user monitoring video
Control picture；
Face identification unit obtains depositing in multiframe user monitoring picture for carrying out recognition of face to multiframe user monitoring picture
User identification information；
Time point acquiring unit, for obtaining the corresponding acquisition time of the user monitoring video, using as user's path data
In user trajectory time point data；
Data assembling unit is used for by the corresponding each user identification information of the user monitoring video, with corresponding geography
Coordinate data and user trajectory time point data are assembled, and user's number of path corresponding with each user identification information is obtained
According to.
8. the track tracing device according to claim 7 based on video, which is characterized in that the face identification unit,
Include:
Picture pretreatment unit, for successively carrying out gray correction and noise filtering to user monitoring picture, after obtaining pretreatment
Picture；
Picture feature extraction unit, for obtaining picture corresponding with picture after the pretreatment by convolutional neural networks model
Feature vector；
Feature comparing unit, for comparing the picture feature vector and feature templates stored in face database
It is right, judge to whether there is picture feature corresponding with picture after the pretreatment in face database in stored feature templates
The identical feature templates of vector；
Discrimination information acquisition unit, if for existing in feature templates stored in face database and scheming after the pretreatment
The identical feature templates of the corresponding picture feature vector of piece, obtain corresponding user identification information.
9. a kind of computer equipment, including memory, processor and it is stored on the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when executing the computer program
Any one of described in the trace tracking method based on video.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program make the processor execute such as base described in any one of claim 1 to 5 when being executed by a processor
In the trace tracking method of video.
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| CN201910270530.0A CN110147471A (en) | 2019-04-04 | 2019-04-04 | Trace tracking method, device, computer equipment and storage medium based on video |
| PCT/CN2019/103374 WO2020199484A1 (en) | 2019-04-04 | 2019-08-29 | Video-based course-of-motion tracking method, apparatus, computer device, and storage medium |
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| CN113761088A (en) * | 2020-07-01 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Method and device for processing position data |
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