CN109165637A - A kind of personal identification method and system based on dynamic video analysis - Google Patents
A kind of personal identification method and system based on dynamic video analysis Download PDFInfo
- Publication number
- CN109165637A CN109165637A CN201811168865.3A CN201811168865A CN109165637A CN 109165637 A CN109165637 A CN 109165637A CN 201811168865 A CN201811168865 A CN 201811168865A CN 109165637 A CN109165637 A CN 109165637A
- Authority
- CN
- China
- Prior art keywords
- personnel
- period
- sub
- image
- abnormal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B5/00—Details of, or auxiliary devices for, ticket-issuing machines
- G07B5/06—Details of, or auxiliary devices for, ticket-issuing machines for preventing fraudulent operation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of personal identification methods and system based on dynamic video analysis, first obtain the image data of the monitoring camera shooting of service provider ticket office region;Then image analysis is carried out to image data, extracts the real time position of personnel in image;Further according to the real time position in a period, the action trail of the personnel is obtained;Finally according to the action trail of the personnel, judge whether the personnel are abnormal booking personnel, it specifically includes: each sub- period is analyzed, obtain the exception sub- period of the personnel, same personnel are obtained with the number of its abnormal sub- period, judge whether the number of abnormal sub- period is greater than preset value, if judging the personnel for abnormal booking personnel.The present invention carries out behavioural analysis to the image of camera shooting automatically by electronic equipment, can effectively identify abnormal booking personnel, and discrimination is high, at low cost, and is easy to provide evidence.
Description
Technical field
The present invention relates to behavioural analysis fields, more specifically to a kind of identification based on dynamic video analysis
Method and system.
Background technique
At the train station, many ticket shift to an earlier date acquisition by illegal retailer, and then price markup is resell to revenue passenger, to earn height
Volume price difference, especially in festivals or holidays, situation is particularly acute;In hospital, many tickets of registering also are purchased by illegal retailer in advance
It takes, especially the expert number of Grade A hospital, then price markup is resell to commonly seeing patient, poor to earn premium price.Such situation
Also have a generation in other many places, it is this it is low buy the high ticket re-selling behavior sold and compromise the interests of user, while also being mentioned to service
Supplier (railway station, hospital etc.) causes interests loss.
Currently, many illegal retailers are after booking, user oriented main distribution mode is in service provider institute
Finding in position, especially ticket office region needs the user of booking to promote.For this purpose, police execution personnel and clothes
Business provides administrator and can stare at a little in ticket office region, and discovery has illegal retailer to go to system when promoting booking to user
Only, however this mode can not only waste a large amount of manpower, but also have little effect: (1) ticket office region flow of the people is big, needs
A large amount of personnel are disposed to monitor;(2) illegal retailer can actively avoid police execution personnel and service provider management
Person, such police execution personnel and service provider manager are difficult to find, while even if finding, also due to illegal quotient
Dealer can seldom carry simultaneously more bill with, therefore be difficult to find evidence and be handled.
Summary of the invention
The technical problem to be solved in the present invention is that for police execution personnel in the prior art and service provider pipe
Reason person can stare at a little in ticket office region, and discovery has illegal retailer to go to prevention when promoting booking to user, however this
The technological deficiency that kind of mode can not only waste a large amount of manpower, but also have little effect provides a kind of based on dynamic video analysis
Personal identification method and system.
The technical solution adopted by the present invention to solve the technical problems is: constructing a kind of identity based on dynamic video analysis
Recognition methods is applied to electronic equipment, comprises the following steps:
The image data that S1, the monitoring camera for obtaining service provider ticket office region are shot;
S2, image analysis is carried out to described image data, extracts the real time position of personnel in image;
S3, according to the real time position in a period, obtain the action trail of the personnel;
S4, according to the action trail of the personnel, judge whether the personnel are abnormal booking personnel;Wherein, judge the people
It includes following sub-step that whether member, which is abnormal booking personnel:
S41, each sub- period in the period is analyzed, to any one sub- period: same people
The total duration that member is taken by the monitoring camera is greater than preset value, and does not have the sub- period to ticket office's booking to be denoted as this
The exception sub- period of personnel;
S42, same personnel are counted the sub- period of exception during the period of time, obtains the abnormal sub- period
Number;
S43, judge whether the number of the exception of each personnel sub- period is greater than preset value, if judging the personnel
For abnormal booking personnel.
Further, in the personal identification method of the invention based on dynamic video analysis, the sub- period refers to
One day, more days one period of composition.
It further, further include that erroneous judgement excludes step in the personal identification method of the invention based on dynamic video analysis
It is rapid:
Image at the service offer of service provider is provided, is judged according to the image judgment step S43 at service offer
Whether obtained abnormal booking personnel have using servicing, if so, the judgement of step S43 is erroneous judgement, if it is not, being not then erroneous judgement.
Further, in the personal identification method of the invention based on dynamic video analysis, personnel described in step S2
Refer to: by preset rules, being determined as remaining personnel after non-working person and non-law enfrocement official.
Further, it in the personal identification method of the invention based on dynamic video analysis, further comprises the steps of:
The image of the monitoring camera shooting is shown on monitor terminal;
Obtain the personnel for the image upper ledge choosing that operator shows in the monitor terminal;
Using the personnel of frame choosing as personnel described in step S2, and other staff are not as personnel described in step S2.
The present invention be solve its technical problem, additionally provide it is a kind of based on dynamic video analysis identification system in,
Include following module:
Image data acquisition module, the figure that the monitoring camera for obtaining service provider ticket office region is shot
As data;
Real time position extraction module extracts the reality of personnel in image for carrying out image analysis to described image data
When position;
Action trail generation module, for obtaining the behavior of the personnel according to the real time position in a period
Track;
Abnormal booking judgment module judges whether the personnel are abnormal booking for the action trail according to the personnel
Personnel;Wherein, judge whether the personnel are that abnormal booking personnel pass through such as lower unit realization:
Abnormal sub- period judging unit, for analyzing each sub- period in the period, to appointing
Anticipate a sub- period: the total duration that same personnel are taken by the monitoring camera is greater than preset value, and without arriving booking
The sub- period of place's booking is denoted as the exception sub- period of the personnel;
Statistic unit obtains exception for counting the sub- period of exception during the period of time to same personnel
The number of sub- period;
Whether the number of as a result judging unit, the exception sub- period for judging each personnel is greater than preset value, if
It is to judge the personnel for abnormal booking personnel.
Further, in the personal identification method of the invention based on dynamic video analysis, the sub- period refers to
One day, more days one period of composition.
It further, further include that erroneous judgement excludes mould in the personal identification method of the invention based on dynamic video analysis
Block, the image at service offer for obtaining service provider, according to the image judging result judging unit at service offer
Judge whether obtained abnormal booking personnel have using servicing, if so, the judgement of result judging unit is erroneous judgement, if it is not, then
It is not erroneous judgement.
Further, in the personal identification method of the invention based on dynamic video analysis, real time position extraction module
Described in personnel refer to: by preset rules, be determined as remaining personnel after non-working person and non-law enfrocement official.
Further, further include module in the identification system of the invention based on dynamic video analysis:
Display module, for showing the image of the monitoring camera shooting on monitor terminal;
Frame modeling block, for obtaining the personnel for the image upper ledge choosing that operator shows in the monitor terminal;
Setup module, the personnel for selecting frame are as personnel described in real time position extraction module, and other staff are not
As personnel described in real time position extraction module.
Implement the personal identification method and system of the invention based on dynamic video analysis, has the advantages that this
Invention carries out behavioural analysis to the image of camera shooting automatically by electronic equipment, can effectively identify abnormal ticket-buyer
Member, discrimination is high, at low cost, and is easy to provide evidence.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the flow chart of personal identification method one embodiment of the invention based on dynamic video analysis;
Fig. 2 be judge in Fig. 1 of the invention personnel whether be abnormal booking personnel flow chart;
Fig. 3 is the schematic diagram of identification system one embodiment of the invention based on dynamic video analysis.
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, now control attached drawing is described in detail
A specific embodiment of the invention.
With reference to Fig. 1, for the flow chart of personal identification method one embodiment of the invention based on dynamic video analysis.This
The personal identification method based on dynamic video analysis implemented is applied in electronic equipment, and such as host computer, this method includes such as
Lower step:
The image data that S1, the monitoring camera for obtaining service provider ticket office region are shot.Service provider
Ticket office region includes that a collection of monitoring camera is installed at ticketing and near ticket office near ticket office and ticket office
Head monitors that acquired image data includes all images captured by this batch of monitoring camera to these regions.Ticketing
Place comprising at artificial ticket office and automatic machine, service provider can be hospital, railway station, cinema, tourist attractions,
Airport etc..
S2, image analysis is carried out to described image data, extracts the real time position of personnel in image.The personnel of extraction can
To be all people person in image, it is also possible to some of the staff in image, as designated person, clarity are greater than the personnel of preset value
Deng.It should be understood that since the same personnel may be taken by different cameras, in processing, it is only necessary to choose
Wherein a picture is analyzed, and a kind of good processing mode is the picture number shot first with each monitoring camera
According to a panorama sketch is constituted, then panorama sketch is analyzed, extracts the real time position of personnel.Preferably, described in this step
Personnel and following corresponding personnel refer to: by preset rules, be determined as remaining after non-working person and non-law enfrocement official
Remaining personnel, such as police, security personnel, cleaner, lobby manager are eliminated in advance, the wipe-out mode of these personnel can be elder generation
The image of these staff and law enfrocement official is acquired to analyze the image data in step S1 when this method is run
When, if the personnel's image extracted is identical as the image for acquiring these staff and law enfrocement official in advance, abandon these
The related data of personnel.
S3, according to the real time position in a period, obtain the action trail of the personnel.In the present embodiment,
The period refers to that one week seven days corresponding following sub- period refers to one day.In other embodiments of the invention, this when
Between section may also mean that the sub- period refers to continuous 6 hours, however, the present invention is not limited thereto three days.In of the invention other one
In a little embodiments, the period is also possible to several discrete sub- periods and is formed.
S4, according to the action trail of the personnel, judge whether the personnel are abnormal booking personnel.With reference to Fig. 2, for this
Judge in Fig. 1 of invention personnel whether be abnormal booking personnel flow chart, judge whether the personnel are abnormal booking personnel packet
Containing following sub-step:
S41, each sub- period in the period is analyzed, to any one sub- period: same people
The total duration that member is taken by the monitoring camera is greater than preset value, and does not have the sub- period to ticket office's booking to be denoted as this
The exception sub- period of personnel;
S42, same personnel are counted the sub- period of exception during the period of time, obtains the abnormal sub- period
Number;
S43, judge whether the number of the exception of each personnel sub- period is greater than preset value, if judging the personnel
For abnormal booking personnel.In order to further provide for evidence, the present invention can also be by view of the abnormal booking personnel within this time
Frequency saves, to check.
In one more embodiment of the present invention, on the basis of above-mentioned steps, the present invention can also include that erroneous judgement excludes step
It is rapid:
Image at the service offer of service provider is provided, is judged according to the image judgment step S43 at service offer
Whether obtained abnormal booking personnel have using servicing, if so, the judgement of step S43 is erroneous judgement, if it is not, being not then erroneous judgement.
Such as, for hospital, it can judge whether abnormal booking personnel have carried out Medical service, certain premise by the medical affairs system of hospital
It is the image for seeing a doctor personnel of medical affairs system acquisition, then compares the image for the personnel of seeing a doctor and the image of abnormal booking personnel
It is right, to judge whether abnormal booking personnel have using service;For another example railway station, can be by arranging that camera is clapped in station entrance
Station personnel are taken in, the abnormal booking personnel then judged with step S43 are compared, to judge that abnormal booking personnel are
It is no to have using service.
Since the flow of the people of service provider ticket office region is very big, image analysis knowledge is carried out to each personnel
When other, data processing amount is especially huge, therefore the present invention specifically refers to following steps to this further improvement:
The image of the monitoring camera shooting is shown on monitor terminal.One can be once shown on monitor terminal
The image of monitoring camera, operator operate the display that monitor terminal carries out the image of different monitoring camera, can also will be more
The image of a monitoring camera shooting is simultaneously displayed on monitor terminal, can also only be shown above-mentioned panorama sketch
On monitor terminal.
Obtain the personnel for the image upper ledge choosing that operator shows in the monitor terminal.When frame selects, operator can be down to frame
Some region is selected, then electronic equipment is according to identifying personnel in frame favored area.The personnel of frame choosing can be operator and see
Examine monitoring image after a certain period of time, it is believed that when being likely to be abnormal booking personnel, do using method of the invention further really
Recognize.
Using the personnel of frame choosing as personnel described in step S2, and other staff are not as personnel described in step S2.Such as
This, can effectively reduce the data processing amount of electronic equipment, improve working equipment.
With reference to Fig. 3, for the schematic diagram of identification system one embodiment of the invention based on dynamic video analysis, packet
Sentence containing following image data acquisition module 31, real time position extraction module 32, action trail generation module 33 and abnormal booking
Disconnected module 34.Image data acquisition module 31 is used to obtain the monitoring camera shooting of service provider ticket office region
Image data;Real time position extraction module 32 is used to carry out image analysis to described image data, extracts personnel in image
Real time position;Action trail generation module 33 is used to obtain the row of the personnel according to the real time position in a period
For track;Abnormal booking judgment module 34 judges whether the personnel are abnormal booking for the behavior according to the personnel, track
Personnel;Wherein, judge whether the personnel are that abnormal booking personnel pass through such as lower unit realization:
Abnormal sub- period judging unit, for analyzing each sub- period in the period, to appointing
Anticipate a sub- period: the total duration that same personnel are taken by the monitoring camera is greater than preset value, and without arriving booking
The sub- period of place's booking is denoted as the exception sub- period of the personnel;
Statistic unit obtains exception for counting the sub- period of exception during the period of time to same personnel
The number of sub- period;
Whether the number of as a result judging unit, the exception sub- period for judging each personnel is greater than preset value, if
It is to judge the personnel for abnormal booking personnel.
The above-mentioned sub- period refers to one day, more days one period of composition.People described in real time position extraction module
Member refers to: by preset rules, being determined as remaining personnel after non-working person and non-law enfrocement official.
In another embodiment of the invention, the identification system of the invention based on dynamic video analysis further includes missing
Sentence exclusion module, the image at service offer for obtaining service provider, according to the image judging result at service offer
Whether the abnormal booking personnel that judging unit judges have using service, if so, the judgement of result judging unit is erroneous judgement,
If it is not, being not then erroneous judgement.
In another embodiment of the invention, the identification system of the invention based on dynamic video analysis further includes mould
Block:
Display module, for showing the image of the monitoring camera shooting on monitor terminal;
Frame modeling block, for obtaining the personnel for the image upper ledge choosing that operator shows in the monitor terminal;
Setup module, the personnel for selecting frame are as personnel described in real time position extraction module, and other staff are not
As personnel described in real time position extraction module.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (10)
1. a kind of personal identification method based on dynamic video analysis, is applied to electronic equipment, which is characterized in that include following step
It is rapid:
The image data that S1, the monitoring camera for obtaining service provider ticket office region are shot;
S2, image analysis is carried out to described image data, extracts the real time position of personnel in image;
S3, according to the real time position in a period, obtain the action trail of the personnel;
S4, according to the action trail of the personnel, judge whether the personnel are abnormal booking personnel;Wherein, judging the personnel is
It is no to include following sub-step for abnormal booking personnel:
S41, each sub- period in the period is analyzed, to any one sub- period: same personnel's quilt
The total duration that the monitoring camera takes is greater than preset value, and does not have the sub- period to ticket office's booking to be denoted as the personnel
An exception sub- period;
S42, same personnel are counted the sub- period of exception during the period of time, obtains of abnormal sub- period
Number;
S43, judge whether the number of the exception of each personnel sub- period is greater than preset value, if judging the personnel to be different
Normal booking personnel.
2. the personal identification method according to claim 1 based on dynamic video analysis, which is characterized in that the sub- time
Section refer to one day, more days one period of composition.
3. the personal identification method according to claim 1 based on dynamic video analysis, which is characterized in that further include erroneous judgement
Exclude step:
Image at the service offer of service provider is provided, judges to obtain according to the image judgment step S43 at service offer
Abnormal booking personnel whether have using service, if so, the judgement of step S43 be erroneous judgement, if it is not, then not for erroneous judgement.
4. the personal identification method according to claim 1 based on dynamic video analysis, which is characterized in that institute in step S2
The personnel of stating refer to: passing through preset rules, be determined as remaining personnel after non-working person and non-law enfrocement official.
5. the personal identification method according to claim 1 based on dynamic video analysis, which is characterized in that further include step
It is rapid:
The image of the monitoring camera shooting is shown on monitor terminal;
Obtain the personnel for the image upper ledge choosing that operator shows in the monitor terminal;
Using the personnel of frame choosing as personnel described in step S2, and other staff are not as personnel described in step S2.
6. a kind of identification system based on dynamic video analysis, is applied to electronic equipment, which is characterized in that comprising such as lower die
Block:
Image data acquisition module, the picture number that the monitoring camera for obtaining service provider ticket office region is shot
According to;
Real time position extraction module extracts the real-time position of personnel in image for carrying out image analysis to described image data
It sets;
Action trail generation module, for obtaining the action trail of the personnel according to the real time position in a period;
Abnormal booking judgment module judges whether the personnel are abnormal booking personnel for the action trail according to the personnel;
Wherein, judge whether the personnel are that abnormal booking personnel pass through such as lower unit realization:
Abnormal sub- period judging unit, for analyzing each sub- period in the period, to any one
A sub- period: the total duration that same personnel are taken by the monitoring camera is greater than preset value, and does not purchase to ticket office
The sub- period of ticket is denoted as the exception sub- period of the personnel;
Statistic unit obtains the abnormal period of the day from 11 p.m. to 1 a.m for counting the sub- period of exception during the period of time to same personnel
Between section number;
Whether the number of as a result judging unit, the exception sub- period for judging each personnel is greater than preset value, if
Judge the personnel for abnormal booking personnel.
7. the identification system according to claim 6 based on dynamic video analysis, which is characterized in that the sub- time
Section refer to one day, more days one period of composition.
8. the identification system according to claim 6 based on dynamic video analysis, which is characterized in that further include erroneous judgement
Module is excluded, the image at service offer for obtaining service provider is sentenced according to the image judging result at service offer
Whether the abnormal booking personnel that disconnected unit judges obtain have using service, if so, the judgement of result judging unit is erroneous judgement, if
It is no, then it is not erroneous judgement.
9. the identification system according to claim 6 based on dynamic video analysis, which is characterized in that real time position mentions
Personnel described in modulus block refer to: passing through preset rules, be determined as remaining people after non-working person and non-law enfrocement official
Member.
10. the identification system according to claim 6 based on dynamic video analysis, which is characterized in that further include mould
Block:
Display module, for showing the image of the monitoring camera shooting on monitor terminal;
Frame modeling block, for obtaining the personnel for the image upper ledge choosing that operator shows in the monitor terminal;
Setup module, personnel for selecting frame as personnel described in real time position extraction module, and other staff not as
Personnel described in real time position extraction module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811168865.3A CN109165637B (en) | 2018-10-08 | 2018-10-08 | Identity recognition method and system based on dynamic video analysis |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811168865.3A CN109165637B (en) | 2018-10-08 | 2018-10-08 | Identity recognition method and system based on dynamic video analysis |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109165637A true CN109165637A (en) | 2019-01-08 |
CN109165637B CN109165637B (en) | 2020-10-20 |
Family
ID=64877495
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811168865.3A Active CN109165637B (en) | 2018-10-08 | 2018-10-08 | Identity recognition method and system based on dynamic video analysis |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109165637B (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2007203124A1 (en) * | 1999-05-25 | 2007-07-26 | Silverbrook Research Pty Ltd | System for network communication |
CN102938058A (en) * | 2012-11-14 | 2013-02-20 | 南京航空航天大学 | Method and system for video driving intelligent perception and facing safe city |
CN103116959A (en) * | 2013-01-25 | 2013-05-22 | 上海博超科技有限公司 | Analyzing and recognizing method for abnormal behaviors in intelligent videos |
CN103399319A (en) * | 2013-07-22 | 2013-11-20 | 山东神戎电子股份有限公司 | Space target positioning method applicable to video monitoring |
CN106022249A (en) * | 2016-05-16 | 2016-10-12 | 乐视控股(北京)有限公司 | Dynamic object identification method, device and system |
CN106789292A (en) * | 2016-12-29 | 2017-05-31 | 东方网力科技股份有限公司 | A kind of abnormal behaviour monitoring method and device |
CN107016322A (en) * | 2016-01-28 | 2017-08-04 | 浙江宇视科技有限公司 | A kind of method and device of trailing personnel analysis |
CN107886007A (en) * | 2017-11-29 | 2018-04-06 | 深圳市茁壮网络股份有限公司 | A kind of abnormal booking behavior processing method and processing device |
-
2018
- 2018-10-08 CN CN201811168865.3A patent/CN109165637B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2007203124A1 (en) * | 1999-05-25 | 2007-07-26 | Silverbrook Research Pty Ltd | System for network communication |
CN102938058A (en) * | 2012-11-14 | 2013-02-20 | 南京航空航天大学 | Method and system for video driving intelligent perception and facing safe city |
CN103116959A (en) * | 2013-01-25 | 2013-05-22 | 上海博超科技有限公司 | Analyzing and recognizing method for abnormal behaviors in intelligent videos |
CN103399319A (en) * | 2013-07-22 | 2013-11-20 | 山东神戎电子股份有限公司 | Space target positioning method applicable to video monitoring |
CN107016322A (en) * | 2016-01-28 | 2017-08-04 | 浙江宇视科技有限公司 | A kind of method and device of trailing personnel analysis |
CN106022249A (en) * | 2016-05-16 | 2016-10-12 | 乐视控股(北京)有限公司 | Dynamic object identification method, device and system |
CN106789292A (en) * | 2016-12-29 | 2017-05-31 | 东方网力科技股份有限公司 | A kind of abnormal behaviour monitoring method and device |
CN107886007A (en) * | 2017-11-29 | 2018-04-06 | 深圳市茁壮网络股份有限公司 | A kind of abnormal booking behavior processing method and processing device |
Non-Patent Citations (1)
Title |
---|
邓晔: "AI数据中心成为人工智能应用的重要基石", 《中国公共安全》 * |
Also Published As
Publication number | Publication date |
---|---|
CN109165637B (en) | 2020-10-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106710007B (en) | A kind of quick ticket checking ticket checking method and its system based on real name ticket checking | |
US7652687B2 (en) | Still image queue analysis system and method | |
CN102306304B (en) | Face occluder identification method and device | |
CN106033530A (en) | Identification method and apparatus for suspected person | |
CN105208528B (en) | A kind of system and method for identifying with administrative staff | |
CN108416336A (en) | A kind of method and system of intelligence community recognition of face | |
CN109359625A (en) | The method and system of customer identification is judged based on head and shoulder detection and face recognition technology | |
CN110647855A (en) | Subway station passenger flow statistical method based on face recognition | |
CN110096606B (en) | Foreign roll personnel management method and device and electronic equipment | |
CN112418091B (en) | Big data-based smart campus security data processing method | |
CN108710827A (en) | A kind of micro- police service inspection in community and information automatic analysis system and method | |
CN109829997A (en) | Staff attendance method and system | |
CN107944371A (en) | A kind of public security video monitoring image processing method based on data mining | |
CN112528952A (en) | Working state intelligent recognition system for electric power business hall personnel | |
CN110363180A (en) | A kind of method and apparatus and equipment that statistics stranger's face repeats | |
CN109800701A (en) | A kind of intelligent security protection Verification System based on recognition of face | |
CN109165637A (en) | A kind of personal identification method and system based on dynamic video analysis | |
CN109063582A (en) | It is a kind of to determine the doubtful system and method bought and sold and divide personnel automatically | |
CN113382208B (en) | Information service cloud platform integrated management system based on internet | |
CN110751125A (en) | Wearing detection method and device | |
JP2020095651A (en) | Productivity evaluation system, productivity evaluation device, productivity evaluation method, and program | |
CN109101875A (en) | Dealing based on recognition of face divides illegal activities to investigate and prosecute system | |
JP4120379B2 (en) | Behavior monitoring system and program | |
CN113766191A (en) | Monitoring method and device for business window and self-service equipment | |
CN113537073A (en) | Method and system for accurately processing special events in business hall |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |