CN202563521U - Vehicle characteristic identification device based on public security video image in skynet engineering - Google Patents
Vehicle characteristic identification device based on public security video image in skynet engineering Download PDFInfo
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- CN202563521U CN202563521U CN 201120484812 CN201120484812U CN202563521U CN 202563521 U CN202563521 U CN 202563521U CN 201120484812 CN201120484812 CN 201120484812 CN 201120484812 U CN201120484812 U CN 201120484812U CN 202563521 U CN202563521 U CN 202563521U
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Abstract
Provided is a vehicle characteristic identification device based on public security video images in skynet engineering. An image collection module is respectively connected with a license plate identification module and a vehicle model identification module, and is used for providing video frames of moving vehicles. The license plate identification module and the vehicle model identification module are connected to a vehicle characteristic database server, and are used for storing characteristic parameters of license plate information and vehicle model information, identified from the video frames of the moving vehicles. The beneficial effects of the device are that through the skynet engineering, videos are collected at a vital street, at a public security guard port, in a public place, in a hotel or other complex public security places, video streams of obtained public security video images are extracted frame by frame, and license plate positioning, license plate cutting, character identification, extraction of contour of the moving vehicles, calculation of edges of density of the vehicles and vehicle model identification based on a decision tree are carried out, thereby identifying the characteristic parameters of the license plate information and the vehicle model information, and playing an active significance to further development and extension of urban public security prevention and control and urban comprehensive management methods.
Description
Technical field
The utility model relates to a kind of vehicle characteristics recognition device, relates in particular to a kind of vehicle characteristics recognition device based on public safety video image in the sky net engineering.
Background technology
" day net engineering " is meant to satisfying urban public security prevention and control and city management needs, utilizes equipment and Control Software compositions such as IMAQ, transmission, control, demonstration, FX monitored in real time the video monitoring system that writes down with information.It net engineering propagates into Surveillance center to all video monitoring dot image in certain zone through network, to the classification of image informations such as criminal case, case involving public security, for prevention is fought crime and sudden public security disaster accident provides reliable image data.
In existing vehicle characteristics identification electronic installation; The needs that have set up infrared induction light curtain perception vehicle and arrive information; The externally pre-buried ground induction coil perception of the needs that have vehicle arrives information; The needs that have fixedly sonac come the perception vehicle to arrive information; The needs that also have are equipped with the electronic license plate of REID, or the like these devices or need the pre-buried equipment of ground construction, perhaps through external trigger obtain trigger pip, the target frame recognition effect that causes grabbing according to trigger pip is poor.The function of these devices is simple and single, is generally used for the fixed location, is inconvenient to change the place and uses.For example: the declaring of the Decree of Patent Office of China in 2003 by people such as Wang Ruli; The patent No. is: the patent of invention of 03115334.8 " infrared electric vehicle license plate and recognition device thereof "; A kind of system that is made up of infrared electric vehicle license plate and information recognition process unit is provided; Information recognition process unit and infrared electric vehicle license plate are read and write infrared data alternately, obtain information such as identity of automobile; Declaring of the Decree of Patent Office of China in 2009 by people such as opening the spring; The patent No. is: the patent of invention of 200910077746.1 " automatic license plate identification system at urban checkpoint "; Produce pulse signal through the coil groups of burying underground in advance and be sent to wagon detector, produce the identification that trigger pip control car plate identification module grasps video image and accomplishes car plate thus; Declaring of the Decree of Patent Office of China in 2010 by people such as Lv Ying; The patent No. is: the utility model patent of 201020147605.0 " a kind of electronic license plates that adopt radio frequency identification technology "; The clamping of radio frequency recognizing electronic label module is arranged between this car plate matrix and this car plate protective seam, carries out the automatic identification of vehicle through the application of REID; Declaring of the Decree of Patent Office of China in 2011 by Mao Zhengang; The patent No. is: the utility model patent of 201120057254.9 " car plate automatic identification equipments "; Produce trigger pip through the wagon detector of burying underground in advance and be delivered to the assembly processor; Control image capture module photographic images carries out the image recognition operation and obtains automotive license plate information.
In addition, need not external trigger, based on the car plate of pure Video Detection location and recognition device automatically, not only convenient the use also provides on-the-spot videograph simultaneously.For example: the declaring of the Decree of Patent Office of China in 2008 by Beijing Signalway Science and Technology Development Co., Ltd.; The patent No. is: the utility model patent of 200820079410.X " a kind of car plate recognition device "; A kind of car plate recognition device that is integrated on the high-speed digital signal process chip is provided; Can pursue frame identification to the multiple image that comprises license board information in the video flowing and handle, realize the car plate identification of high-speed real-time.Yet; The above-mentioned device that waits still has certain limitation in practical application; And adaptability, stability and reliability still await further improving and are perfect; Simultaneously a lot of problems are still solved effectively, and these problems comprise: the variation of (one) vehicle on yardstick, position, direction.Because Vehicle Speed difference, illumination condition change, blocking between the vehicle, vehicle guarded region apart from situation such as distances, cause vehicle all can change in side such as shape, outward appearance, size, color.(2) the attitude correction problem of vehicle in image.Owing to influenced by video camera shooting angle, shooting height, vehicle possibly tilt during through virtual coil, when in this case vehicle is carried out velocity survey, vehicle classification, need carry out the attitude correction of vehicle image.
Summary of the invention
The purpose of the utility model is exactly the above-mentioned defective that exists to prior art, and a kind of vehicle characteristics recognition device based on public safety video image in the sky net engineering is provided, and accomplishes the car plate identification and the vehicle identification of moving vehicle.This apparatus structure is simple, easy to use; Have following advantage: (one) mainly handles based on video image information, need be to signal receiving devices such as installation board units on the vehicle, and the cost of equipment installation and later maintenance is lower; And install simple; Easy to use, need not ground construction, can not influence normal road traffic; (2) adopt video detection technology after, can the virtual detection district be set in the zone, track of video image, need not carry out pavement construction and influence traffic, and change the virtual detection district and be very easy to; (3) video image information is very directly perceived, can make things convenient for managerial personnel that the scene is judged more intuitively, and can image be done further analysis and information excavating the application image treatment technology.
This device through " day net engineering " on the traffic main artery, the complicated places of public security such as public security bayonet socket, public gathering place, hotel carry out video acquisition; The public safety video image that obtains is carried out video flowing to be pursued frame extraction, car plate location, car plate cutting, character recognition and the extraction of moving vehicle profile, vehicle edge density calculation, discerns based on the vehicle of decision tree; Thereby the characteristic parameter of identification license board information and vehicle information, and be stored in vehicular characteristics data storehouse server.
The utility model is realized like this; It comprises image capture module, car plate identification module and vehicle identification module and vehicular characteristics data storehouse server; It is characterized in that image capture module connects car plate identification module and vehicle identification module respectively, provides moving vehicle frame of video figure; Car plate identification module and vehicle identification module are connected to vehicular characteristics data storehouse server, the license board information that storage identifies from moving vehicle frame of video figure and the characteristic parameter of vehicle information.
Said image capture module comprises video camera, digital video fiber optic, video transmission private, video storage server and video flowing and extracts submodule by frame.Wherein, video camera is connected with the digital video fiber optic through video signal cable, and the public safety video of gathering is inputed to the digital video fiber optic; The digital video fiber optic is through the video transmission private, after adopting digital video not have the Compression and Transmission technology public safety video is carried out digitizing, transfers to the video storage server; The video storage server will offer video flowing from the digital public safety video flowing that the video transmission private receives and extract submodule by frame, and compression memory after adopting mpeg 4 standard that digital public safety video flowing is encoded; Video flowing extracts submodule by frame and connects the video storage server, and the digital public safety video flowing that the video storage server is provided extracts moving vehicle frame of video figure.
Said car plate identification module comprises car plate locator module, Character segmentation submodule and character recognition submodule, and car plate locator module concatenation character is cut apart submodule, Character segmentation submodule concatenation character recognin module.Wherein, car plate locator module as input picture, is confirmed the position of license plate area with moving vehicle frame of video figure; The Character segmentation submodule carries out the image that Character segmentation obtains each characters on license plate according to the license plate image that car plate locator module provides; Each characters on license plate image that the character recognition submodule provides according to the Character segmentation submodule uses radial base neural net to carry out character recognition, obtains final license plate recognition result according to the character that identifies.
Said vehicle identification module comprises the moving vehicle profile and extracts submodule, moving vehicle feature extraction submodule and decision tree vehicle recognin module; The moving vehicle profile extracts submodule and connects moving vehicle feature extraction submodule, and moving vehicle feature extraction submodule connects decision tree vehicle recognin module.Wherein, moving vehicle profile extraction submodule as input picture, extracts the profile of moving vehicle with moving vehicle frame of video figure; Moving vehicle feature extraction submodule extracts the moving vehicle contour images that submodule provides according to the moving vehicle profile, adopts vehicle edge Density Distribution characteristic to extract corresponding vehicle characteristic; The vehicle edge density ratio that decision tree vehicle recognin module provides according to moving vehicle feature extraction submodule adopts three grades of decision trees to carry out vehicle identification.
The technique effect of the utility model is: through " day net engineering " on the traffic main artery, the complicated places of public security such as public security bayonet socket, public gathering place, hotel carry out video acquisition; The public safety video image that obtains is carried out video flowing to be extracted by frame; Car plate location, car plate cutting, character recognition and the extraction of moving vehicle profile, vehicle edge density calculation, based on the vehicle identification of decision tree; Thereby the characteristic parameter of identification license board information and vehicle information has has further expanded and extend positive effect to urban public security prevention and control and overall management of the urban area means.
Description of drawings
Fig. 1 is the structural representation of the utility model.
Fig. 2 is the concrete workflow diagram of car plate locator module of the utility model.
Fig. 3 is the concrete workflow diagram of Character segmentation submodule of the utility model.
Fig. 4 is the concrete workflow diagram of character recognition submodule of the utility model.
Fig. 5 is that the moving vehicle profile of the utility model extracts the concrete workflow diagram of submodule.
Fig. 6 is the concrete workflow diagram of moving vehicle feature extraction submodule of the utility model.
Embodiment
As shown in Figure 1, the utility model is realized like this, comprises image capture module 100, car plate identification module 106, vehicle identification module 110 and vehicular characteristics data storehouse server 114.Wherein image capture module 100 comprises video camera 101, digital video fiber optic 102, video transmission private 103, video storage server 104 and video flowing by frame extraction submodule 105; Car plate identification module 106 comprises car plate locator module 107, Character segmentation submodule 108 and character recognition submodule 109; Vehicle identification module 110 comprises the moving vehicle profile and extracts submodule 111, moving vehicle feature extraction submodule 112 and decision tree vehicle recognin module 113.
With reference to structural representation shown in Figure 1, image capture module 100 connects car plate identification module 106 and vehicle identification module 110 respectively, and moving vehicle frame of video figure is provided; Car plate identification module 106 is connected to vehicular characteristics data storehouse server 114 with vehicle identification module 110, the license board information that storage identifies from moving vehicle frame of video figure and the characteristic parameter of vehicle information;
With reference to structural representation shown in Figure 1, in the image capture module 100, video camera 101 is connected with digital video fiber optic 102 through video signal cable, and the public safety video of gathering is inputed to digital video fiber optic 102; Digital video fiber optic 102 is through video transmission private 103, after adopting digital video not have the Compression and Transmission technology public safety video is carried out digitizing, transfers to video storage server 104; Video storage server 104 will connect the 103 digital public safety video flowings received from the video transmission private and offer video flowing and extract submodule 105 by frame, and adopt mpeg 4 standard to the digital public safety video flowing back compression memory of encoding; Video flowing extracts submodule 105 by frame and connects video storage server 104, and the digital public safety video flowing that video storage server 104 is provided extracts moving vehicle frame of video figure.
With reference to structural representation shown in Figure 1, in the car plate identification module 106, car plate locator module 107 concatenation characters are cut apart submodule 108, Character segmentation submodule 108 concatenation character recognin modules 109; Car plate locator module 107 as input picture, is confirmed the position of license plate area with moving vehicle frame of video figure; Character segmentation submodule 108 carries out the image that Character segmentation obtains each characters on license plate according to the license plate image that car plate locator module 107 provides; Each characters on license plate image that character recognition submodule 109 provides according to Character segmentation submodule 108 uses radial base neural net to carry out character recognition, obtains final license plate recognition result according to the character that identifies.
With reference to structural representation shown in Figure 1, in the vehicle identification module 110, the moving vehicle profile extracts submodule 111 and connects moving vehicle feature extraction submodule 112, and moving vehicle feature extraction submodule 112 connects decision tree vehicle recognin module 113; Moving vehicle profile extraction submodule 111 as input picture, extracts the profile of moving vehicle with moving vehicle frame of video figure; Moving vehicle feature extraction submodule 112 extracts the moving vehicle contour images that submodule 111 provides according to the moving vehicle profile, adopts vehicle edge Density Distribution characteristic to extract corresponding vehicle characteristic; The vehicle edge density ratio that decision tree vehicle recognin module 113 provides according to moving vehicle feature extraction submodule 112 adopts three grades of decision trees to carry out vehicle identification.
For described car plate locator module, the concrete workflow of present embodiment is as shown in Figure 2, and step is following:
Step 201: the moving vehicle frame of video figure to input adopts a kind of Roberts operator to carry out the detection and the extraction of longitudinal edge; The following form of the differential type of Roberts operator:
Wherein, (x y) is output image to g, and (x y) is input picture to f;
Step 202: remove the invalid and interference marginal point in the license plate image;
Step 203: license plate image is carried out based on horizontal morphology closed procedure, form candidate's connected domain;
Step 204: supplement algorithm with money according to the sweep trace seed and carry out the search of candidate's connected domain, and differentiate the correlation candidate connected domain;
Step 205: if the absolute altitude of candidate's connected domain, width greater than preset threshold, execution in step 207; If the absolute altitude of candidate's connected domain, width smaller or equal to preset threshold, then jump to step 206;
Step 206: original image is carried out the grey level stretching adjustment, the car plate connected domain is increased, and jump to step 201;
Step 207: candidate's license plate area is carried out colour model conversion, and based on the pixel proportion that meets car plate background and character colour characteristic of HSV modeling statistics candidate license plate area, if ratio greater than preset threshold, execution in step 208; If ratio is smaller or equal to preset threshold, execution in step 206;
Step 208: carry out the accurate location of car plate bounds according to the microcosmic edge feature of car plate, and export the accurate border of license plate area.
For described Character segmentation submodule, the concrete workflow of present embodiment is as shown in Figure 3, and step is following:
Step 301: the license plate area image is carried out the binaryzation operation based on the sobel edge, separately character zone and the background area in the license plate area;
Step 302: the license plate area image is carried out RGB change the HSV operation;
Step 303: Judging Reverse Color is carried out in the HSV space through to the license plate area image, converts the unification of license plate area image into the black matrix wrongly written or mispronounced character;
Step 304:, carry out respectively from bottom to top and top-down twice judgement of lining by line scan according to the difference result of the adjacent columns pixel of binaryzation; White pixel according to every row is counted out, and accurately confirms the bound position of license plate area;
Step 305: through the denoising first time, undesirable character in the connected domain of removal license plate area;
Step 306:, in the license plate area of fine positioning, confirm the position at Chinese character place according to radicals by which characters are arranged in traditional Chinese dictionaries dispersed arrangement in Chinese character-type;
Step 307: find out each connected region of license plate area based on recursion method, obtain the character connected domain sequence that meets the characters on license plate order;
Step 308: have part adhesion situation to characters on license plate, split connected domain, obtain single accurately characters on license plate according to the left and right sides width size of connected domain;
Step 309: to some second-rate license plate images, carry out the denoising second time, obtain characters on license plate connected domain accurately.
For described character recognition submodule, the concrete workflow of present embodiment is as shown in Figure 4, and step is following:
Step 401: the characters on license plate connected domain is carried out size normalization handle;
Step 402: character connected domain to be identified by 8 for gray level image is converted into 1 bianry image, is saved storage space and also improved recognition speed;
Step 403: the radial base neural net that the radial base neural net structure is designed to three layers of input layer, latent layer and output layers;
Step 404: for each character, respectively through Chinese character sub-network, digital sub-network, alphabetical sub-network and alpha-numerical sub-network in 50 sample training radial base neural nets;
Step 405: on the radial base neural net that trains, select corresponding subnet for use, carry out the identification of characters on license plate according to character position;
Step 406: according to the identification of characters on license plate, the characteristic of resultant motion vehicle license plate number.
Extract submodule for described moving vehicle profile, the concrete workflow of present embodiment is as shown in Figure 5, and step is following:
Step 501: in the Video Detection zone that sets,,, catch this vehicle region through the moving vehicle object detection method in case moving vehicle enters into the Video Detection zone;
Step 502:, calculate corresponding vehicle ' s contour zone through the mathematical morphology disposal route;
Step 503: propose corresponding vehicle ' s contour through the profile extraction algorithm.
For described moving vehicle feature extraction submodule, the concrete workflow of present embodiment is as shown in Figure 6, and step is following:
Step 601: vehicle ' s contour is carried out the Canny rim detection, obtain vehicle edge;
Step 602: calculating vehicle edge vehicle head edge point sum;
Step 603: calculating vehicle edge vehicle side body marginal point sum;
Step 604: be divided by through the head edge point sum and the marginal point sum of leaning to one side, calculate the characteristic of vehicle edge density ratio.
Claims (1)
1. vehicle characteristics recognition device based on public safety video image in the sky net engineering; It comprises video camera, digital video fiber optic, video transmission private, video storage server and vehicular characteristics data storehouse server; It is characterized in that: said video camera is connected with the digital video fiber optic through video signal cable, and the public safety video of gathering is inputed to the digital video fiber optic; Said digital video fiber optic is through the video transmission private, after adopting digital video not have the Compression and Transmission technology public safety video is carried out digitizing, transfers to the video storage server; Said video storage server receives digital public safety video flowing from the video transmission private, compression memory after the employing mpeg 4 standard is encoded to digital public safety video flowing, and extract corresponding moving vehicle frame of video figure; Said vehicular characteristics data storehouse server receives moving vehicle frame of video figure from the video storage server, discerns and store the characteristic parameter of corresponding license board information and vehicle information.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448179A (en) * | 2016-09-12 | 2017-02-22 | 河海大学 | Intelligent expressway traffic analyzing system |
| CN108573198A (en) * | 2017-03-14 | 2018-09-25 | 优信互联（北京）信息技术有限公司 | A kind of method and device identifying vehicle information according to Vehicle Identify Number |
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2011
- 2011-11-29 CN CN 201120484812 patent/CN202563521U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448179A (en) * | 2016-09-12 | 2017-02-22 | 河海大学 | Intelligent expressway traffic analyzing system |
| CN108573198A (en) * | 2017-03-14 | 2018-09-25 | 优信互联（北京）信息技术有限公司 | A kind of method and device identifying vehicle information according to Vehicle Identify Number |
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Granted publication date: 20121128 Termination date: 20131129 |