CN110532432A - A kind of personage's trajectory retrieval method and its system, computer readable storage medium - Google Patents
A kind of personage's trajectory retrieval method and its system, computer readable storage medium Download PDFInfo
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- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/71—Indexing; Data structures therefor; Storage structures
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- G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
- G06F16/784—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content the detected or recognised objects being people
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The present invention provides a kind of personage's trajectory retrieval method and its system, computer readable storage medium, and this method is applied to the system, which comprises according to target camera number and period acquisition of information video data；When there is target person in the video data, the multiframe facial image about target person in the video data is intercepted, removal blurred picture obtains at least one facial image sample；Recognition of face is carried out to the facial image sample and obtains the face characteristic value of target person；Face retrieval index is generated according to the face characteristic value；The multiple image data about target person are obtained according to the face characteristic value and the face retrieval search index face database；It obtains and data, the shooting time of the multiple image data and shooting location generates personage's motion profile according to the map.Implement the present invention, quickly image recognition personage can be retrieved.
Description
Technical field
Route tracer technique of the present invention field, in particular to a kind of personage's trajectory retrieval method and its system.
Background technique
A kind of technology that recognition of face is identified as information has been applied to multiple fields in life.As computer is answered
With the continuous development of technology, recognition of face processing technique also becomes the hot spot that people are studied.Simultaneously in field of video monitoring,
There is the preservation of the data of recognition of face and monitor video, it is already possible to very easily, carry out the activity trajectory of one people of retrieval, i.e.,
Some time passes through under certain camera.There are these technologies, suspect, movement track or even dwelling etc. are retrieved by public security department
There is mark that can look into.
But traditional personage's trajectory retrieval, it can only be by video of putting upside down, the camera for then transferring periphery is arranged one by one
It looks into, takes time and effort.
Summary of the invention
The present invention is directed to propose a kind of personage's trajectory retrieval method and its system, computer readable storage medium, by face
Identification feature value, video monitoring and map datum combine, so that personage track can be come out with quick-searching.
In a first aspect, the embodiment of the present invention proposes a kind of personage's trajectory retrieval method, comprising:
According to target camera number and period acquisition of information video data；
When there is target person in the video data, the multiframe about target person in the video data is intercepted
Facial image；
The multiframe facial image about target person is screened, removal blurred picture obtains at least one face
Image pattern；
Recognition of face is carried out at least one described facial image sample and obtains the face characteristic value of target person；
Face retrieval index is generated according to the face characteristic value；
It is obtained according to the face characteristic value and the face retrieval search index face database about target person
Multiple image data；
It obtains and data, the shooting time of the multiple image data and shooting location generates personage's movement rail according to the map
Mark.
Wherein, the face database real-time reception and storage and distribution view captured by multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index frequency accordingly and in video data, each video data packet
Multiple image data are included, every frame image data includes image, shooting time and the camera number of camera shooting, wherein often
One camera has unique number.
Wherein, described to be obtained according to the face characteristic value and the face retrieval search index face database about mesh
Mark personage multiple image data include:
The face characteristic value and face retrieval index are sent to each child servers；
According to the face characteristic value and the face retrieval search index, respectively face database obtains each child servers
Multiple image data about target person；
Receive the multiple image data about target person that each child servers return.
Wherein, the face database real-time reception of each child servers and storage and distribution are in multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index, described each in captured video data and video data
Video data includes multiple image data, and every frame image data includes image, shooting time and the camera of camera shooting
Number, wherein each camera has unique number.
Wherein, it obtains and data, the shooting time of the multiple image data and shooting location generates personage according to the map
Motion profile includes:
The multiple image data are ranked up by shooting time；
The shooting location that target person sequentially occurs is determined according to ranking results；
The shooting location sequentially occurred according to target person generates personage's motion profile of target person on map.
Second aspect, the embodiment of the present invention propose a kind of personage's trajectory retrieval system, including primary server, the main service
Device includes:
Video acquisition unit, for according to target camera number and period acquisition of information video data；
Video processing unit, for intercepting in the video data when there is target person in the video data
Multiframe facial image about target person；
Image pre-processing unit, for screening to the multiframe facial image about target person, removal is fuzzy
Image obtains at least one facial image sample；
Image identification unit obtains target person for carrying out recognition of face at least one described facial image sample
Face characteristic value；
Generation unit is indexed, for generating face retrieval index according to the face characteristic value；
Data query unit is closed according to the face characteristic value and the face retrieval search index face database
In the multiple image data of target person；
Track generation unit, for obtaining and data, the shooting time of the multiple image data and shooting according to the map
Place generates personage's motion profile.
Wherein, the face database real-time reception and storage and distribution view captured by multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index frequency accordingly and in video data, each video data packet
Multiple image data are included, every frame image data includes image, shooting time and the camera number of camera shooting, wherein often
One camera has unique number.
It wherein, further include each child servers；
The data query unit includes:
Data transmission unit, for the face characteristic value and face retrieval index to be sent to each child servers；
Data transmission unit receives the multiple image data about target person that each child servers return；
Each child servers are respectively used to according to the respective face number of the face characteristic value and the face retrieval search index
The multiple image data about target person are obtained according to library；
Wherein, the face database real-time reception of each child servers and storage and distribution are in multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index, described each in captured video data and video data
Video data includes multiple image data, and every frame image data includes image, shooting time and the camera of camera shooting
Number, wherein each camera has unique number.
Wherein, the track generation unit includes:
Sorting subunit, for being ranked up by shooting time to the multiple image data；
Place subelement, for determining shooting location that target person sequentially occurs according to ranking results；
Track subelement, the shooting location for sequentially being occurred according to target person generate the people of target person on map
Object motion profile.
The third aspect, the embodiment of the present invention propose a kind of computer readable storage medium, comprising: computer is executable to be referred to
It enables, when the computer executable instructions are run to execute personage's trajectory retrieval method.
The embodiment of the present invention proposes a kind of personage's trajectory retrieval method and its system, computer readable storage medium, passes through
Camera each in region is connect with server, establishes region cameras monitoring network, server set at image identification unit and
Database can rapidly be inquired in database by face characteristic value and the face retrieval index of target person about target person
The facial image of object can determine the motion track of target person according to the shooting time of facial image and place, and in combination
Diagram data finally generates the motion profile of target person on map.Therefore, implement the embodiment of the present invention, enabling to can be with
Non- grid-connected camera is carried out grid-connected, makes it possible to image recognition personage, and can support quickly to image recognition personage into
Row retrieval.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that being emerged from by implementing the present invention.The objectives and other advantages of the invention can by specification,
Specifically noted structure is achieved and obtained in claims and attached drawing.Certainly, implement any of the products of the present invention or
Method does not necessarily require achieving all the advantages described above at the same time.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of personage's trajectory retrieval method flow schematic diagram described in the embodiment of the present invention one.
Fig. 2 is a kind of personage's trajectory retrieval system schematic described in the embodiment of the present invention two.
Appended drawing reference:
Video acquisition unit -1, video processing unit -2, image pre-processing unit -3, image identification unit -, 4, index life
At unit -5, data query unit -6, track generation unit -7.
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 and complete
Ground description, it is clear that described embodiment is only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without making creative work it is obtained it is all its
Its embodiment, shall fall within the protection scope of the present invention.
Here, it should also be noted that, in order to avoid having obscured the present invention because of unnecessary details, in the accompanying drawings only
Show with closely related structure according to the solution of the present invention, and be omitted and the little other details of relationship of the present invention.
Embodiment one
The embodiment of the present invention one proposes a kind of personage's trajectory retrieval method, can be applied to personage described in embodiment two
Trajectory retrieval system, the system include a primary server, the primary server include video acquisition unit, video processing unit,
Image pre-processing unit, image identification unit, index generation unit, data query unit and track generation unit.Fig. 1 is real
Apply flow diagram described in example one.
Refering to fig. 1, the method includes the steps S101-S107:
Step S101, according to target camera number and period acquisition of information video data.
Specifically, user inputs target camera number and period by client in step when needing to inquire
Information, is sent to the primary server in cloud, and the video acquisition unit of primary server transfers corresponding period target from database
Video data captured by camera is simultaneously sent to client.
Step S102, when there is target person in the video data, intercept in the video data about target
The multiframe facial image of personage.
Specifically, the video data that user returns to primary server at client in step is checked, judgement should
Whether there is target person in video data, if so, user sends a confirmation message, main clothes to primary server by client
The video processing unit of business device intercepts the facial image about target person in the video data according to the confirmation message.
Step S103, the multiframe facial image about target person is screened, removal blurred picture obtain to
A few facial image sample.
Specifically, blurred picture refers to that unintelligible, angle is unfavorable for carrying out the figure of recognition of face more partially etc. in step
Picture screened by multiframe facial image of the image pre-processing unit to interception, available to be convenient for recognition of face
One or more facial image samples.
Step S104, recognition of face is carried out to the facial image and obtains the face characteristic value of target person.
Specifically, primary server identify using the facial image that image identification unit intercepts step S102
Face characteristic value calculating is carried out to face corresponding with target person, and to the face.It should be noted that the meter of face characteristic value
Calculation mode is not present subject matter, and the present embodiment is intended to carry out the retrieval of personage's motion profile, this field using face characteristic value
The calculation method of the known related face characteristic value of technical staff, can choose any face characteristic value according to actual needs and calculate
Method is applied in the present invention, therefore, does not carry out particular technique means to the calculation method of face characteristic value in the present embodiment
It limits.
Step S105, face retrieval index is generated according to the face characteristic value.
Specifically, face retrieval index is generated by index generation unit in step, the wherein life of face retrieval index
At being for the ease of quick-searching, face retrieval index is a kind of face character, and the face character of target person includes but unlimited
In gender, nose types, eyes type, mouth type etc., for example, target person is male, then it is available fast according to search index
Speed inquires the relevant face image data of male.
Step S106, it is obtained according to the face characteristic value and the face retrieval search index face database about mesh
Mark the multiple image data of personage.
View captured by multiple cameras of different location in region is distributed in specifically, being stored in face database
Frequency evidence, each video data include multiple image data, and every frame includes that the image data of face can all extract corresponding people
Face characteristic value and face retrieval index, are then stored in face database, in case inquiring at any time.Therefore, when getting target
When face characteristic value and the face retrieval index of personage, data query unit is examined according to the face characteristic value and face of target person
Rustling sound draws inquiry face database, can find and index matched multiframe figure with the face characteristic value of target person and face retrieval
As data.
Step S107, it obtains and data, the shooting time of the multiple image data and shooting location generates according to the map
Personage's motion profile.
Specifically, can determine target person according to the shooting time of the multiple image data and shooting location in step
Which place object reached according to time sequencing, and track generation unit generates personage's motion profile using map datum on map.
Wherein, the face database real-time reception and storage and distribution view captured by multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index frequency accordingly and in video data, each video data packet
Multiple image data are included, every frame image data includes image, shooting time and the camera number of camera shooting, wherein often
One camera has unique number.
Wherein, the step S106 includes:
Step S201, the face characteristic value and face retrieval index are sent to each child servers.
Specifically, each community, place are assembled with many cameras, wherein there is the camera of security protection, traffic is taken the photograph
As first-class etc..If all camera data in one region are handled by a server, possible server will appear
Therefore the case where overload, proposes distributed server in present embodiment, multiple child servers are arranged, will be one big
The multiple zonules of region division, such as an administrative area is divided into five zonules, each cell by all directions and middle part
A child servers are arranged in domain, and all cameras in child servers and zonule communicate to connect, and establish monitoring network.Work as needs
When inquiry, primary server sends inquiry request information to each child servers, and the inquiry request includes face characteristic value and face
Search index.
Step S202, each child servers are according to the respective face number of the face characteristic value and the face retrieval search index
The multiple image data about target person are obtained according to library；
Specifically, each child servers are after receiving inquiry request, according to the face characteristic value and the face
Whether the video data that search index is inquired in respective face database includes target person.
Step S203, the multiple image data about target person that each child servers return are received.
Wherein, the face database real-time reception of each child servers and storage and distribution are in multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index, described each in captured video data and video data
Video data includes multiple image data, and every frame image data includes image, shooting time and the camera of camera shooting
Number, wherein each camera has unique number.
Wherein, the step S106 includes:
Step S401, the multiple image data are ranked up by shooting time.
Specifically, each frame image data all has the shooting time of image.
Step S402, shooting location that target person sequentially occurs is determined according to ranking results.
Specifically, by multiple image data according to time sequence after, can learn that target person temporally elapses successively
Which shooting location appeared in.
Step S403, the shooting location sequentially occurred according to target person generates personage's movement of target person on map
Track.
Specifically, can include the map datum of one's respective area by means of existing map software, map software, pass through
Map software can generate the motion track of target person on map.
The embodiment of the present invention increases the preservation of face recognition features' value and the guarantor of search index on the basis of tradition monitoring
It deposits.When needed, it is only necessary to confirm someone camera shooting inside system, it can plant the rail task quickly through feature
Mark quick-searching and the personage's motion profile for generating target person.
Embodiment two
The embodiment of the present invention two proposes a kind of personage's trajectory retrieval system, a kind of personage's rail as described in Fig. 2 is embodiment two
The schematic diagram of mark searching system.
Referring to Fig.2, the system comprises primary server, the primary server includes:
Video acquisition unit 1, for according to target camera number and period acquisition of information video data；
Video processing unit 2, for intercepting in the video data when there is target person in the video data
Multiframe facial image about target person；
Image pre-processing unit 3, for screening to the multiframe facial image about target person, removal is fuzzy
Image obtains at least one facial image sample；
Image identification unit 4 obtains target person for carrying out recognition of face at least one described facial image sample
Face characteristic value；
Generation unit 5 is indexed, for generating face retrieval index according to the face characteristic value；
Data query unit 6 is obtained according to the face characteristic value and the face retrieval search index face database
Multiple image data about target person；
Track generation unit 7, for obtaining and data, the shooting time of the multiple image data and shooting according to the map
Place generates personage's motion profile.
Wherein, the face database real-time reception and storage and distribution view captured by multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index frequency accordingly and in video data, each video data packet
Multiple image data are included, every frame image data includes image, shooting time and the camera number of camera shooting, wherein often
One camera has unique number.
Wherein, the system also includes each child servers；
The data query unit includes:
Data transmission unit, for the face characteristic value and face retrieval index to be sent to each child servers；
Data transmission unit receives the multiple image data about target person that each child servers return；
Each child servers are respectively used to according to the respective face number of the face characteristic value and the face retrieval search index
The multiple image data about target person are obtained according to library.
Wherein, the face database real-time reception of each child servers and storage and distribution are in multiple cameras of different location
The face characteristic value of every frame facial image and face retrieval index, described each in captured video data and video data
Video data includes multiple image data, and every frame image data includes image, shooting time and the camera of camera shooting
Number, wherein each camera has unique number.
Wherein, the track generation unit includes:
Sorting subunit, for being ranked up by shooting time to the multiple image data；
Place subelement, for determining shooting location that target person sequentially occurs according to ranking results；
Track subelement, the shooting location for sequentially being occurred according to target person generate the people of target person on map
Object motion profile.
It should be noted that system described in embodiment two is corresponding with one the method for embodiment, therefore, it is described in embodiment two
Non- detailed portion of uniting can be obtained refering to the content of one the method for embodiment, and details are not described herein again.
Embodiment three
The embodiment of the present invention three proposes a kind of computer readable storage medium, comprising: computer executable instructions, when described
To execute personage's trajectory retrieval method described in embodiment one when computer executable instructions are run.
By the description above with respect to embodiment it is found that the embodiment of the present invention propose a kind of personage's trajectory retrieval method and its
System, computer readable storage medium establish region cameras monitoring network by the way that camera each in region to be connect with server
Network, server set, can be with by face characteristic value and the face retrieval index of target person at image identification unit and database
The facial image rapidly inquired in database about target person can be true according to the shooting time of facial image and place
Set the goal the motion track of personage, and combines map datum, and the motion profile of target person is finally generated on map.Therefore,
Implement the embodiment of the present invention, enabling to can be grid-connected to non-grid-connected camera progress, image recognition personage is made it possible to, and
And it can support quickly to retrieve image recognition personage.
It should be noted that it is based on present disclosure, it is apparent to those skilled in the art that, the present invention can borrow
Software and required common hardware is helped to realize, naturally it is also possible to which the former is more preferably by hardware realization, but in many cases
Embodiment.Based on this understanding, technical solution of the present invention substantially the part that contributes to existing technology in other words
It can be embodied in the form of software products, which may be stored in a computer readable storage medium,
Floppy disk, read-only memory (Read-Only Memory, ROM), random access memory (RandomAccess such as computer
Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are used so that computer equipment (can be with
It is personal computer, server or the network equipment etc.) realize method/system described in each embodiment of the present invention.
The above is only a specific embodiment of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of personage's trajectory retrieval method characterized by comprising
According to target camera number and period acquisition of information video data；
When there is target person in the video data, the multiframe face about target person in the video data is intercepted
Image；
The multiframe facial image about target person is screened, removal blurred picture obtains at least one facial image
Sample；
Recognition of face is carried out at least one described facial image sample and obtains the face characteristic value of target person；
Face retrieval index is generated according to the face characteristic value；
The multiframe about target person is obtained according to the face characteristic value and the face retrieval search index face database
Image data；
It obtains and data, the shooting time of the multiple image data and shooting location generates personage's motion profile according to the map.
2. personage's trajectory retrieval method as described in claim 1, which is characterized in that the face database real-time reception is simultaneously deposited
Storage is distributed in the face of every frame facial image in video data captured by multiple cameras of different location and video data
Characteristic value and face retrieval index, each video data includes multiple image data, and every frame image data includes camera
Image, shooting time and the camera number of shooting, wherein each camera has unique number.
3. personage's trajectory retrieval method as described in claim 1, which is characterized in that described according to the face characteristic value and institute
It states face retrieval search index face database and obtains and include: about the multiple image data of target person
The face characteristic value and face retrieval index are sent to each child servers；
Each child servers according to the face characteristic value and the face retrieval search index respectively face database obtain about
The multiple image data of target person；
Receive the multiple image data about target person that each child servers return.
4. personage's trajectory retrieval method as claimed in claim 3, which is characterized in that the face database of each child servers is real
When receive and store and be distributed in every frame face in video data captured by multiple cameras of different location and video data
The face characteristic value and face retrieval of image index, and each video data includes multiple image data, every frame image data
Image, shooting time and camera number including camera shooting, wherein each camera has unique number.
5. personage's trajectory retrieval method according to any one of claims 1-4, which is characterized in that obtain and count according to the map
Generating personage's motion profile according to, the shooting time of the multiple image data and shooting location includes:
The multiple image data are ranked up by shooting time；
The shooting location that target person sequentially occurs is determined according to ranking results；
The shooting location sequentially occurred according to target person generates personage's motion profile of target person on map.
6. a kind of personage's trajectory retrieval system, which is characterized in that including primary server, the primary server includes:
Video acquisition unit, for according to target camera number and period acquisition of information video data；
Video processing unit, for when there is target person in the video data, intercept in the video data about
The multiframe facial image of target person；
Image pre-processing unit removes blurred picture for screening to the multiframe facial image about target person
Obtain at least one facial image sample；
Image identification unit obtains the face of target person for carrying out recognition of face at least one described facial image sample
Characteristic value；
Generation unit is indexed, for generating face retrieval index according to the face characteristic value；
Data query unit is obtained according to the face characteristic value and the face retrieval search index face database about mesh
Mark the multiple image data of personage；
Track generation unit, for obtaining and data, the shooting time of the multiple image data and shooting location according to the map
Generate personage's motion profile.
7. personage's trajectory retrieval system as claimed in claim 6, which is characterized in that the face database real-time reception is simultaneously deposited
Storage is distributed in the face of every frame facial image in video data captured by multiple cameras of different location and video data
Characteristic value and face retrieval index, each video data includes multiple image data, and every frame image data includes camera
Image, shooting time and the camera number of shooting, wherein each camera has unique number.
8. personage's trajectory retrieval system as claimed in claim 6, which is characterized in that further include each child servers；
The data query unit includes:
Data transmission unit, for the face characteristic value and face retrieval index to be sent to each child servers；
Data transmission unit receives the multiple image data about target person that each child servers return；
Each child servers are respectively used to according to the respective face database of the face characteristic value and the face retrieval search index
Obtain the multiple image data about target person；
Wherein, the face database real-time reception of each child servers simultaneously clapped by multiple cameras of the storage and distribution in different location
The face characteristic value of every frame facial image and face retrieval index, each video in the video data and video data taken the photograph
Data include multiple image data, and every frame image data includes image, shooting time and the camera number of camera shooting,
Wherein each camera has unique number.
9. such as the described in any item personage's trajectory retrieval systems of claim 6-8, which is characterized in that the track generation unit packet
It includes:
Sorting subunit, for being ranked up by shooting time to the multiple image data；
Place subelement, for determining shooting location that target person sequentially occurs according to ranking results；
Track subelement, the shooting location for sequentially being occurred according to target person generate personage's fortune of target person on map
Dynamic rail mark.
10. a kind of computer readable storage medium characterized by comprising computer executable instructions, when the computer can
It executes instruction when being run to execute such as the described in any item personage's trajectory retrieval methods of claim 5-9.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110955792A (en) * | 2019-12-13 | 2020-04-03 | 云粒智慧科技有限公司 | Searching method and device based on picture, electronic equipment and storage medium |
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| CN111400550A (en) * | 2019-12-30 | 2020-07-10 | 深圳市商汤科技有限公司 | Target motion trajectory construction method and device and computer storage medium |
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| CN113055586A (en) * | 2019-12-27 | 2021-06-29 | 青岛千眼飞凤信息技术有限公司 | Video processing method and device |
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| CN114241575A (en) * | 2021-12-23 | 2022-03-25 | 广州智算信息技术有限公司 | AI-based deep learning big data face recognition system |
| CN114612985A (en) * | 2022-03-17 | 2022-06-10 | 中国科学技术大学 | Portrait query method, system, device and storage medium |
| CN114842527A (en) * | 2022-04-01 | 2022-08-02 | 武汉虹信技术服务有限责任公司 | Smart city-based hierarchical face recognition system and method |
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| CN110955792A (en) * | 2019-12-13 | 2020-04-03 | 云粒智慧科技有限公司 | Searching method and device based on picture, electronic equipment and storage medium |
| CN111143594A (en) * | 2019-12-26 | 2020-05-12 | 北京橘拍科技有限公司 | Portrait searching method, server, storage medium, video processing method and system |
| CN113055586A (en) * | 2019-12-27 | 2021-06-29 | 青岛千眼飞凤信息技术有限公司 | Video processing method and device |
| CN111400550A (en) * | 2019-12-30 | 2020-07-10 | 深圳市商汤科技有限公司 | Target motion trajectory construction method and device and computer storage medium |
| WO2021135138A1 (en) * | 2019-12-30 | 2021-07-08 | 深圳市商汤科技有限公司 | Target motion trajectory construction method and device, and computer storage medium |
| CN113128282A (en) * | 2019-12-31 | 2021-07-16 | 深圳云天励飞技术有限公司 | Crowd category dividing method and device and terminal |
| CN111259789A (en) * | 2020-01-15 | 2020-06-09 | 祥誉智能科技(威海)有限公司 | Face recognition intelligent security monitoring management method and system |
| CN111222492A (en) * | 2020-01-19 | 2020-06-02 | 四川联众竞达科技有限公司 | Tracking method of moving track |
| CN111242077A (en) * | 2020-01-20 | 2020-06-05 | 西安奥卡云数据科技有限公司 | Figure tracking method, system and server |
| CN111563618A (en) * | 2020-04-24 | 2020-08-21 | 深圳市商汤科技有限公司 | Track generation method and related device |
| CN111476616A (en) * | 2020-06-24 | 2020-07-31 | 腾讯科技（深圳）有限公司 | Trajectory determination method and apparatus, electronic device and computer storage medium |
| CN111476616B (en) * | 2020-06-24 | 2020-10-30 | 腾讯科技（深圳）有限公司 | Trajectory determination method and apparatus, electronic device and computer storage medium |
| CN112218046B (en) * | 2020-09-27 | 2023-10-24 | 杭州海康威视***技术有限公司 | Object monitoring method and device |
| CN112218046A (en) * | 2020-09-27 | 2021-01-12 | 杭州海康威视***技术有限公司 | Object monitoring method and device |
| CN112232153A (en) * | 2020-09-30 | 2021-01-15 | 广东职业技术学院 | Method and system for acquiring track of target person |
| CN112633063B (en) * | 2020-11-18 | 2023-06-30 | 深圳供电局有限公司 | Figure action tracking system and method thereof |
| CN112633063A (en) * | 2020-11-18 | 2021-04-09 | 深圳供电局有限公司 | Person action tracking system and method thereof |
| CN114241575A (en) * | 2021-12-23 | 2022-03-25 | 广州智算信息技术有限公司 | AI-based deep learning big data face recognition system |
| CN114612985A (en) * | 2022-03-17 | 2022-06-10 | 中国科学技术大学 | Portrait query method, system, device and storage medium |
| CN114612985B (en) * | 2022-03-17 | 2024-04-02 | 中国科学技术大学 | Portrait query method, system, equipment and storage medium |
| CN114842527A (en) * | 2022-04-01 | 2022-08-02 | 武汉虹信技术服务有限责任公司 | Smart city-based hierarchical face recognition system and method |
| CN116662598A (en) * | 2023-07-27 | 2023-08-29 | 北京全景智联科技有限公司 | Character portrait information management method based on vector index and electronic equipment |
| CN116662598B (en) * | 2023-07-27 | 2023-09-26 | 北京全景智联科技有限公司 | Character portrait information management method based on vector index and electronic equipment |
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