CN107133563A - A kind of video analytic system and method based on police field - Google Patents
A kind of video analytic system and method based on police field Download PDFInfo
- Publication number
- CN107133563A CN107133563A CN201710160678.XA CN201710160678A CN107133563A CN 107133563 A CN107133563 A CN 107133563A CN 201710160678 A CN201710160678 A CN 201710160678A CN 107133563 A CN107133563 A CN 107133563A
- Authority
- CN
- China
- Prior art keywords
- face
- collection
- vehicle
- information
- feature
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000011218 segmentation Effects 0.000 claims abstract description 9
- 238000012790 confirmation Methods 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 10
- 238000012806 monitoring device Methods 0.000 claims description 7
- 238000012360 testing method Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 235000013399 edible fruits Nutrition 0.000 claims description 2
- 238000005336 cracking Methods 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 4
- 238000010606 normalization Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 210000000887 face Anatomy 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/63—Scene text, e.g. street names
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/158—Segmentation of character regions using character size, text spacings or pitch estimation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- Educational Administration (AREA)
- Human Computer Interaction (AREA)
- Development Economics (AREA)
- Image Analysis (AREA)
Abstract
The present invention provides a kind of video analytic system and method based on police field, and methods described includes：When detecting presumptive area and there is vehicle, the face picture information of driver and the car plate pictorial information of vehicle are gathered；Position identification is carried out to the face picture information and feature templates are set up, and face characteristic collection is set up according to the feature templates at each position of face；The car plate pictorial information is handled, positioning licence plate region is gone forward side by side line character segmentation, and is combined into a vehicle license plate characteristic collection after character is normalized；The face characteristic collection and vehicle license plate characteristic collection and the standard feature collection prestored are compared to confirm driver identity and information of vehicles respectively, and return to confirmation result.The video analytic system based on police field and method that the present invention is provided can be able to be that public security system cracking of cases and information source provide strong guarantee while realize recognition of face and Car license recognition.
Description
Technical field
The present invention relates to public security system field, more particularly to a kind of video analytic system and method based on police field.
Background technology
The propulsion built with safe city, much cities have deployed substantial amounts of security monitoring camera at present, by
This massive video data produced is also great challenge while bringing opportunity to public domain safety precaution.Rely on people merely
Work is monitored or investigation can not meet the demand of practical application, and the intelligent analysis of video turns into the most effective approach solved the problems, such as.
With developing rapidly for public security industrial application of information technology means, current video monitoring system has become public security prevention and control, detectd
The important means for case of investigating and unearthing.But, the ambiguity of video information, non-structured data mode and content in face of magnanimity,
Artificial after crime to have access to mode and take time and effort, multitude of video is lost in without combing, had a strong impact on the construction of monitoring system into
Effect.At present in safety precaution field, effective analysis, organization and management video data study the Video Applications system based on content
System substitution manual type, has become the research emphasis of information for police application.
Prior art is being tried to explore to set up video information storehouse, and the video image information of all departments, categories within police force concern is carried out
Arrange, classification is stored.But, in real work, due to unstructured, the multi-semantic meaning of video information, the video letter built
Storehouse is ceased, case can only simply be marked, various regions are still based on artificial check.In recent years, video feature extraction, video knot
The technologies such as structure analysis, video index, video frequency searching have been achieved for obvious progress, but are integrating the upper also distance of application,
Ripe a workbench and application system are not formed also, and information processing capability is poor, it is impossible to meet actual demand.
The content of the invention
For problem above, patent purpose of the present invention be to devise a kind of video analytic system based on police field and
Method, recognition of face and Car license recognition can be realized simultaneously, can be that public security system cracking of cases and information source provide strong guarantee.
Specific technical scheme of the invention is as follows：
A kind of video analysis method based on police field, including：
S1, when detecting presumptive area and there is vehicle, gather the face picture information of driver and the car plate figure of vehicle
Piece information；
S2, the face picture information is carried out position identification and to set up feature templates, and according to each position of face
Feature templates set up face characteristic collection；
S3, the car plate pictorial information is handled, positioning licence plate region is gone forward side by side line character segmentation, and character is entered
A vehicle license plate characteristic collection is combined into after row normalized；
S4, the face characteristic collection and vehicle license plate characteristic collection and the standard feature collection that prestores be compared with true respectively
Recognize driver identity and information of vehicles, and return to confirmation result.
Further, it is of the present invention that position identification is carried out to the face picture information and feature templates are set up, further
Including：Eyes, nose, lip, this four positions of lower face profile are identified.
Further, it is of the present invention that position identification is carried out to the face picture information and feature templates are set up, further
Including：Set up color characteristic template, edge contour feature templates and the textural characteristics template at each position.
Further, the method for the invention further comprises：
The face picture information of driver is gathered in advance and sets up and prestore the face standard feature collection of driver, with
And prestore the car plate standard feature collection of vehicle.
Further, the method for the invention further comprises：
Face black list database and car plate black list database are prestored, by the face characteristic collection and vehicle license plate characteristic
Collection is compared with the face black list database and car plate black list database and is confirmed whether it is the driving in blacklist
Member and vehicle.
A kind of video analytic system based on police field, including be sequentially connected monitoring device (101), harvester
(102), processor (103), communication module (104), server (105) and memory (106), wherein：
The monitoring device (101) is used to monitor presumptive area, and when detecting presumptive area and there is vehicle, sends inspection
Survey result and give harvester (102)；
The harvester (102) is used for the face picture for starting and gathering driver after the testing result is received
The car plate pictorial information of information and vehicle；
The processor (103) is used to carry out position identification to the face picture information and sets up feature templates, and
Face characteristic collection is set up according to the feature templates at each position of face；Meanwhile, the car plate pictorial information is handled, positioned
License plate area is gone forward side by side line character segmentation, and is combined into a vehicle license plate characteristic collection after character is normalized；
The server (105) is used for respectively that the face characteristic collection and vehicle license plate characteristic collection and the standard prestored is special
Collection is compared to confirm driver identity and information of vehicles, and returns to confirmation result.
Further, memory (106) of the present invention is used for the face standard feature collection and vehicle for prestoring driver
Car plate standard feature collection, and prestore face black list database and car plate black list database.
Further, communication module (104) of the present invention is 3G/4G network communication modules.
Further, it is of the present invention that position identification is carried out to the face picture information and feature templates are set up, further
Including：Eyes, nose, lip, this four positions of lower face profile are identified.
Further, it is of the present invention that position identification is carried out to the face picture information and feature templates are set up, further
Including：Set up color characteristic template, edge contour feature templates and the textural characteristics template at each position.
Brief description of the drawings
Embodiments of the present invention is further illustrated referring to the drawings, wherein：
Fig. 1 is the flow chart of the video analysis method of the invention based on police field；
Fig. 2 is the module map of the video analytic system of the invention based on police field.
Embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings.
The present invention proposes a kind of video analysis method based on police field, integrates and knows with video structural, face
The advanced technologies, research and establishment video image information analysis application system such as other and Car license recognition.Covering video traffic is provided from " adopting
Collection ", " studying and judging " arrive the global ability support of " preservation ", " management ", " application ", video image is turned into important cracking of cases hand
Section and information source, promote video monitoring system construction by the evolution of " information " to " analysis ", and will be finally base perspectively
Layer public security police provide one " press close under battle conditions, study and judge efficiently, management it is orderly " video analysis operating environment of overall importance.
Referring to Fig. 1, methods described includes：
S1, when detecting presumptive area and there is vehicle, gather the face picture information of driver and the car plate figure of vehicle
Piece information.
Specifically, the real-time monitoring camera of monitoring device, when someone, car appear in camera, send testing result to
Harvester, starts acquisition function, the face picture information of one effective driver of collection and the car plate pictorial information of vehicle.
Collection service positions all faces and all vehicles in picture by rank scanning.
S2, the face picture information is carried out position identification and to set up feature templates, and according to each position of face
Feature templates set up face characteristic collection.
Specifically, position identification is carried out to every face picture respectively, including eyes, nose, lip, lower face profile (on
Half face because there is the influence such as hair, therefore without using) four positions；Then this four positions are obtained into feature templates respectively, and
It is combined into a feature set.Four genius loci templates include color characteristic template, edge contour feature templates, textural characteristics mould
Plate, and according to the optimal characteristics form assembly at each position into a feature set.
Color characteristic template：Color histogram is set up using HSV (H is color, and S is the depth, and V is light and shade) color space,
When building histogram, chrominance component is only used, so processing will not substantially reduce the accuracy of color characteristic model, moreover it is possible to substantially reduce
Amount of calculation, improves efficiency.
Edge contour feature templates：When site color and close background color, merely with single color characteristic effect
It is very poor, therefore jointing edge contour feature can greatly improve the robustness subsequently compared.Using Canny operators do rim detection and
Extract.
Textural characteristics template：Texture be describe target a kind of key character, when face position and background color it is close or
When person's face adjacent margins are blocked, their texture properties are typically different.This operator is in conventional local binary patterns
(LBP) it is improved further on the basis of texture description operator.LBP is using each pixel and its radius on R annular neighborhood
The correlation of P pixel the texture of image described.Such as LBP operators are in a P=8, and R=2 sizes are 3X3 picture
Plain adjacent area, will produce 2 namely 256 kinds possible texture codings of 8 powers, and have that operand is big and excessively matches asks
Topic.The present invention quickly calculates the grey level distribution of specified pixel zone level, vertical and diagonal four direction using integrogram
To describe the textural characteristics of image, same 3X3 regions common property is given birth to 2 namely 16 kinds possible texture codings of 4 powers, will referred to
The region that sets the goal according to said method is quantified, and forms integration Texture similarity.Under this operator does not have significantly than LBP in precision
Drop, but with faster calculating speed.
S3, the car plate pictorial information is handled, positioning licence plate region is gone forward side by side line character segmentation, and character is entered
A vehicle license plate characteristic collection is combined into after row normalized.
Specifically, license plate area is divided into single character according to the region of License Plate, Character segmentation is using vertical throwing
Shadow method.Because the inevitable gap location in intercharacter or character of projection of character in vertical direction obtains the attached of local minimum
Closely, and this position meet licence plate character writing form and size limitation.Using vertical projection method under complex environment
Character segmentation in automobile image has preferable effect.
There is larger difference in the characters on license plate size in image, uniform sizes contribute to the accuracy of character recognition, carried
High discrimination, so as to be matched with template.Normalization includes size normalization and stroke normalization (thinning algorithm).Size is returned
One change is exactly to enter line translation to different size of character, makes the character of same size, many features can just be used
In the character for recognizing different font size mixings.A vehicle license plate characteristic collection is combined into after all character normalizations.
S4, the face characteristic collection and vehicle license plate characteristic collection and the standard feature collection that prestores be compared with true respectively
Recognize driver identity and information of vehicles, and return to confirmation result.
Specifically, processor the face characteristic collection and vehicle license plate characteristic collection obtained after processing by communication module, be transferred to
The central server of public security private network, central server is transmitted to the corresponding server that compares according to the type of feature set and carries out face
Compare and Car license recognition is compared.
Face characteristic collection and vehicle license plate characteristic collection, which are compared, must be divided into 0 to 100/ decimal.Wherein face characteristic collection four
Individual position weighted value is different, and its formula is as follows：
Total score=eyes*50%+nose*20%+mouth*20%+contour*10%；
Wherein misclassification rate FAR and the corresponding relation of score are as follows：
Total score=- 12*log10 (FAR)
Wherein, eyes, nose, mouth, contour are respectively that eyes, nose, lip, the comparison result of lower face profile are obtained
Point, FAR is misclassification rate.
When score (similarity) is more than or equal to 72, misclassification rate (FAR) is less than one of million parts, therefore can be used as judgement
Same people or the standard scores of the same number-plate number.
Further, methods described further comprises：The face picture information of driver is gathered in advance and is set up and is deposited in advance
The face standard feature collection of driver is stored up, and prestores the car plate standard feature collection of vehicle.
Further, methods described also includes：Face black list database and car plate black list database are prestored, by institute
Face characteristic collection and vehicle license plate characteristic collection is stated to be compared with the face black list database and car plate black list database and true
Whether recognize is driver and vehicle in blacklist.Feature set is completed with all comparings in blacklist or illegal vehicle storehouse, such as
Fruit finds have score to be above standard point, then sends warning message to public security alarm unified interface, be then transferred to flow of manually receiving a crime report.
According to above method, the present invention also provides a kind of video analytic system based on police field, referring to Fig. 2, bag
Include the monitoring device 101 being sequentially connected, harvester 102, processor 103, communication module 104, server 105 and memory
106, wherein：
The monitoring device 101 is used to monitor presumptive area, and when detecting presumptive area and there is vehicle, sends detection
As a result harvester 102 is given；
The harvester 102 is used for the face picture letter for starting and gathering driver after the testing result is received
The car plate pictorial information of breath and vehicle；
The processor 103 is used to carry out position identification to the face picture information and sets up feature templates, Yi Jigen
Face characteristic collection is set up according to the feature templates at each position of face；Meanwhile, the car plate pictorial information is handled, positioning car
Board region is gone forward side by side line character segmentation, and is combined into a vehicle license plate characteristic collection after character is normalized；
The server 105 is used for the face characteristic collection and vehicle license plate characteristic collection and the standard feature prestored respectively
Collection is compared to confirm driver identity and information of vehicles, and returns to confirmation result.
The memory 106 is used to prestore the face standard feature collection of driver and the car plate standard feature of vehicle
Collection, and prestore face black list database and car plate black list database.
The communication module 104 is 3G/4G network communication modules.
It is described that position identification is carried out to the face picture information and feature templates are set up, further comprise：To eyes, nose
This four positions of son, lip, lower face profile are identified, and set up the color characteristic template at each position, edge contour feature
Template and textural characteristics template.
The video analytic system based on police field and method that the present invention is provided are based on video content structuring exploitation
Image analysis system, the whole screening of video monitoring information can be realized, the loss of useful information is prevented, reproduced video prison
The information flow and Business Stream of application are controlled and studied and judged, the Transformation Development of public security system working mechanism can be effectively supported.
Recognition of face, Car license recognition are same core algorithm is realized, integrality, score are had more than single realization
The realization opened is with more efficient and speed advantage.
Based on video content structured analysis system, effectively break away from video monitoring of the tradition based on manpower and check, have access to
With study and judge pattern, can effectively integrate daily police work, form new video monitoring evident information stream, policer operation and video
Business Stream is studied and judged, cases investigative mode is innovated, new means is provided for all kinds of case investigations.
The embodiment of present invention described above, is not intended to limit the scope of the present invention..Any basis
Various other corresponding changes and deformation that the technical concept of the present invention is made, should be included in the guarantor of the claims in the present invention
In the range of shield.
Claims (10)
1. a kind of video analysis method based on police field, it is characterised in that including：
S1, when detecting presumptive area and there is vehicle, gather the face picture information of driver and the car plate picture letter of vehicle
Breath；
S2, the face picture information is carried out position identification and to set up feature templates, and according to the spy at each position of face
Levy template and set up face characteristic collection；
S3, the car plate pictorial information is handled, positioning licence plate region is gone forward side by side line character segmentation, and character is returned
A vehicle license plate characteristic collection is combined into after one change processing；
S4, the face characteristic collection and vehicle license plate characteristic collection and the standard feature collection that prestores be compared to confirm to drive respectively
The person's of sailing identity and information of vehicles, and return to confirmation result.
2. the video analysis method according to claim 1 based on police field, it is characterised in that described to the face
Pictorial information carries out position identification and sets up feature templates, further comprises：To eyes, nose, lip, lower face profile this four
Position is identified.
3. the video analysis method according to claim 1 based on police field, it is characterised in that described to the face
Pictorial information carries out position identification and sets up feature templates, further comprises：Set up color characteristic template, the edge at each position
Contour feature template and textural characteristics template.
4. the video analysis method according to claim 1 based on police field, it is characterised in that methods described is further
Including：
The face picture information of collection driver and establishment and the face standard feature collection for prestoring driver, and in advance in advance
First store the car plate standard feature collection of vehicle.
5. the video analysis method according to claim 1 based on police field, it is characterised in that methods described is further
Including：
Prestore face black list database and car plate black list database, by the face characteristic collection and vehicle license plate characteristic collection with
The face black list database and car plate black list database be compared and be confirmed whether it is the driver in blacklist and
Vehicle.
6. a kind of video analytic system based on police field, it is characterised in that including be sequentially connected monitoring device (101),
Harvester (102), processor (103), communication module (104), server (105) and memory (106), wherein：
The monitoring device (101) is used to monitor presumptive area, and when detecting presumptive area and there is vehicle, sends detection knot
Fruit gives harvester (102)；
The harvester (102) is used for the face picture information for starting and gathering driver after the testing result is received
With the car plate pictorial information of vehicle；
The processor (103) is used to carry out position identification to the face picture information and sets up feature templates, and according to
The feature templates at each position of face set up face characteristic collection；Meanwhile, the car plate pictorial information is handled, positioning licence plate
Region is gone forward side by side line character segmentation, and is combined into a vehicle license plate characteristic collection after character is normalized；
The server (105) is used for the face characteristic collection and vehicle license plate characteristic collection and the standard feature collection prestored respectively
It is compared to confirm driver identity and information of vehicles, and returns to confirmation result.
7. the video analytic system according to claim 6 based on police field, it is characterised in that the memory
(106) it is used to prestore the face standard feature collection of driver and the car plate standard feature collection of vehicle, and prestores people
Face black list database and car plate black list database.
8. the video analytic system according to claim 6 based on police field, it is characterised in that the communication module
(104) it is 3G/4G network communication modules.
9. the video analytic system according to claim 6 based on police field, it is characterised in that described to the face
Pictorial information carries out position identification and sets up feature templates, further comprises：To eyes, nose, lip, lower face profile this four
Position is identified.
10. the video analytic system according to claim 6 based on police field, it is characterised in that described to the people
Face pictorial information carries out position identification and sets up feature templates, further comprises：Set up color characteristic template, the side at each position
Edge contour feature template and textural characteristics template.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710160678.XA CN107133563A (en) | 2017-03-17 | 2017-03-17 | A kind of video analytic system and method based on police field |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710160678.XA CN107133563A (en) | 2017-03-17 | 2017-03-17 | A kind of video analytic system and method based on police field |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107133563A true CN107133563A (en) | 2017-09-05 |
Family
ID=59720735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710160678.XA Pending CN107133563A (en) | 2017-03-17 | 2017-03-17 | A kind of video analytic system and method based on police field |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107133563A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107886339A (en) * | 2017-11-15 | 2018-04-06 | 百度在线网络技术（北京）有限公司 | Method and apparatus for output information |
| CN108259847A (en) * | 2018-04-04 | 2018-07-06 | 武汉市技领科技有限公司 | Its net monitoring device and method |
| CN109376665A (en) * | 2018-10-29 | 2019-02-22 | 重庆科技学院 | The driving behavior assessment system of taximan based on intelligent perception |
| CN109815848A (en) * | 2018-12-29 | 2019-05-28 | 深圳市天彦通信股份有限公司 | Parking lot safety pre-warning system and method |
| CN110379176A (en) * | 2019-08-30 | 2019-10-25 | 公安部交通管理科学研究所 | Illegal activities early warning hold-up interception method of driving without a license based on image recognition |
| CN110659384A (en) * | 2018-06-13 | 2020-01-07 | 杭州海康威视数字技术股份有限公司 | Video structured analysis method and device |
| CN110909567A (en) * | 2018-09-17 | 2020-03-24 | 杭州海康威视系统技术有限公司 | Method and device for capturing lost driving personnel |
| CN111353369A (en) * | 2019-10-16 | 2020-06-30 | 智慧互通科技有限公司 | Application method and system of high-order video of urban roadside parking in assisting criminal investigation |
| CN113869337A (en) * | 2020-06-30 | 2021-12-31 | 北京金山数字娱乐科技有限公司 | Training method and device of image recognition model, and image recognition method and device |
| CN115542362A (en) * | 2022-12-01 | 2022-12-30 | 成都信息工程大学 | High-precision space positioning method, system, equipment and medium for electric power operation site |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1801181A (en) * | 2006-01-06 | 2006-07-12 | 华南理工大学 | Robot capable of automatically recognizing face and vehicle license plate |
| CN103426203A (en) * | 2012-05-24 | 2013-12-04 | 南京中兴力维软件有限公司 | Unattended wisdom park vehicle management method and system |
| CN103440485A (en) * | 2013-09-13 | 2013-12-11 | 石翼 | Vehicle access control system and method |
| US20140063249A1 (en) * | 2012-09-05 | 2014-03-06 | Motorola Solutions, Inc. | Method, apparatus and system for performing facial recognition |
-
2017
- 2017-03-17 CN CN201710160678.XA patent/CN107133563A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1801181A (en) * | 2006-01-06 | 2006-07-12 | 华南理工大学 | Robot capable of automatically recognizing face and vehicle license plate |
| CN103426203A (en) * | 2012-05-24 | 2013-12-04 | 南京中兴力维软件有限公司 | Unattended wisdom park vehicle management method and system |
| US20140063249A1 (en) * | 2012-09-05 | 2014-03-06 | Motorola Solutions, Inc. | Method, apparatus and system for performing facial recognition |
| CN103440485A (en) * | 2013-09-13 | 2013-12-11 | 石翼 | Vehicle access control system and method |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107886339A (en) * | 2017-11-15 | 2018-04-06 | 百度在线网络技术（北京）有限公司 | Method and apparatus for output information |
| CN108259847A (en) * | 2018-04-04 | 2018-07-06 | 武汉市技领科技有限公司 | Its net monitoring device and method |
| CN110659384B (en) * | 2018-06-13 | 2022-10-04 | 杭州海康威视数字技术股份有限公司 | Video structured analysis method and device |
| CN110659384A (en) * | 2018-06-13 | 2020-01-07 | 杭州海康威视数字技术股份有限公司 | Video structured analysis method and device |
| CN110909567A (en) * | 2018-09-17 | 2020-03-24 | 杭州海康威视系统技术有限公司 | Method and device for capturing lost driving personnel |
| CN109376665A (en) * | 2018-10-29 | 2019-02-22 | 重庆科技学院 | The driving behavior assessment system of taximan based on intelligent perception |
| CN109815848A (en) * | 2018-12-29 | 2019-05-28 | 深圳市天彦通信股份有限公司 | Parking lot safety pre-warning system and method |
| CN110379176B (en) * | 2019-08-30 | 2021-09-07 | 公安部交通管理科学研究所 | Driving without license illegal behavior early warning interception method based on image recognition |
| CN110379176A (en) * | 2019-08-30 | 2019-10-25 | 公安部交通管理科学研究所 | Illegal activities early warning hold-up interception method of driving without a license based on image recognition |
| CN111353369A (en) * | 2019-10-16 | 2020-06-30 | 智慧互通科技有限公司 | Application method and system of high-order video of urban roadside parking in assisting criminal investigation |
| CN111353369B (en) * | 2019-10-16 | 2023-11-10 | 智慧互通科技股份有限公司 | Application method and system of urban road side parking high-level video in auxiliary criminal investigation |
| CN113869337A (en) * | 2020-06-30 | 2021-12-31 | 北京金山数字娱乐科技有限公司 | Training method and device of image recognition model, and image recognition method and device |
| CN115542362A (en) * | 2022-12-01 | 2022-12-30 | 成都信息工程大学 | High-precision space positioning method, system, equipment and medium for electric power operation site |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107133563A (en) | A kind of video analytic system and method based on police field | |
| CN109740478B (en) | Vehicle detection and identification method, device, computer equipment and readable storage medium | |
| CN106600977B (en) | Multi-feature recognition-based illegal parking detection method and system | |
| CN101937508B (en) | License plate localization and identification method based on high-definition image | |
| US9721173B2 (en) | Machine learning approach for detecting mobile phone usage by a driver | |
| CN102043945B (en) | License plate character recognition method based on real-time vehicle tracking and binary index classification | |
| CN101872416B (en) | Vehicle license plate recognition method and system of road image | |
| US20140369567A1 (en) | Authorized Access Using Image Capture and Recognition System | |
| CN106384513B (en) | A kind of fake-licensed car capture system and method based on intelligent transportation | |
| CN106446926A (en) | Transformer station worker helmet wear detection method based on video analysis | |
| CN105279475A (en) | Fake-licensed vehicle identification method and apparatus based on vehicle identity recognition | |
| CN110619277A (en) | Multi-community intelligent deployment and control method and system | |
| CN103699880A (en) | Internet of things-based traffic violation vehicle license plate detection and identification method | |
| Mammeri et al. | North-American speed limit sign detection and recognition for smart cars | |
| CN112115800A (en) | Vehicle combination recognition system and method based on deep learning target detection | |
| Abbass et al. | Iraqi license plate detection and segmentation based on deep learning | |
| CN106327876B (en) | A kind of fake-licensed car capture system and method based on automobile data recorder | |
| Saadouli et al. | Automatic and secure electronic gate system using fusion of license plate, car make recognition and face detection | |
| Chowdhury et al. | An adaptive technique for computer vision based vehicles license plate detection system | |
| Kumar et al. | An Implementation of Automatic Number Plate Detection and Recognition using AI | |
| Ahmad et al. | A Review of Automatic Number Plate Recognition | |
| Lafuente-Arroyo et al. | Traffic sign classification invariant to rotations using support vector machines | |
| Mohammad et al. | An Efficient Method for Vehicle theft and Parking rule Violators Detection using Automatic Number Plate Recognition | |
| Biswas et al. | Detection of Traffic Rule Violations Using Machine Learning: An Analytical Review | |
| Nooruddin et al. | A bangladeshi license plate detection system based on extracted color features |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170905 |