CN102663353A - Vehicle identification method based on single frame image and apparatus thereof - Google Patents
Vehicle identification method based on single frame image and apparatus thereof Download PDFInfo
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- CN102663353A CN102663353A CN2012100828145A CN201210082814A CN102663353A CN 102663353 A CN102663353 A CN 102663353A CN 2012100828145 A CN2012100828145 A CN 2012100828145A CN 201210082814 A CN201210082814 A CN 201210082814A CN 102663353 A CN102663353 A CN 102663353A
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Abstract
The invention discloses a vehicle identification method based on a single frame image. The method is used in the intelligent traffic field and is used to solve problems that identification kinds are less and an identification rate is low in the current vehicle identification. The method comprises the following steps: according to the collected single frame image, carrying out initial road calibration and acquiring scale information of vehicles at different positions; when current time is daytime, detecting a vehicle bottom area and a vehicle window area respectively and acquiring the vehicle position information; if the current time is night, detecting a car light area and a vehicle window position and acquiring the vehicle position information; according to the scale information and the position information, using a symmetry to acquire a profile diagram of the object vehicle; according to the profile diagram, carrying out vehicle type identification. According to the embodiments of the invention, various types of the vehicles can be rapidly and high-efficiently identified and a demand of road traffic law enforcement can be satisfied.
Description
Technical field
The present invention relates to intelligent transportation field, relate in particular to a kind of vehicle identification method and device based on single-frame images.
Background technology
At intelligent transportation field, vehicle identification is a crucial technology.Vehicle recongnition technique in the market mainly can be divided into contact and contactless.The contact vehicle identification be in implementation process, sensor is imbedded underground, vehicle through the time sensor respond to identification, its shortcoming is that construction is complicated; Installation process is very big to the reliability and the effect on service life of sensor; And sensor is prone to be damaged by heavy vehicle, and maintenance cost is higher, and sensor need suspend traffic when installing and repairing; Road pavement is destroyed, and influences pavement life.And in use, because influenced by Vehicle Speed and other disturbing factor etc., the vehicle characteristics curve of acquisition is undesirable to the classifying quality of vehicle, so use common servicing unit as other system seldom separately.
Non-contact vehicle identification roughly can be divided into two types of active detecting and passive detections.Active detecting is promptly utilized the reflection echo principle; By sonic generator emission high frequency waves; Return with the frequency that changes by moving vehicle then, note frequecy characteristic, thereby carry out vehicle detection or vehicle identification through transducer; But the weak point of this method is implementation process and receives the influence of environment easily that recognition performance reduces with environment temperature and airflow influence.
Passive non-contact detection technology is a kind of contactless passive detection technique like vehicle detection or vehicle identification based on video image, and it has and does not destroy the road surface, and sensing range is big, obtains to contain much information, and installs and uses flexibly the advantage that maintenance cost is low.But existing Technology Need utilizes multiple image background modeling or frame difference method to detect vehicle, extracts the geometric properties of vehicle then through the associated picture treatment technology.In some academic researches, distinguish type of vehicle through vehicle is carried out the 3D modeling, but these methods need be based upon under the basic prerequisite of weak perspective, i.e. requirement can be seen the vehicle overall picture of leaning to one side clearly, thereby can't satisfy the needs of the actual execution of intelligent transportation management and control.It is large, medium and small to distinguish vehicle based on the vehicle recongnition technique of video in the market, but can't still be dregs car etc. like passenger vehicle, lorry, heavy goods vehicle by purposes active zone separating vehicles.
Summary of the invention
The purpose of the embodiment of the invention is to existing its identification problem that kind is few, discrimination is low of vehicle recongnition technique based on video image; A kind of vehicle identification method and device based on single-frame images proposed; Can effectively obtaining vehicle structure information and characteristic information, thereby realize effective identification to vehicle.
In order to reach the foregoing invention purpose, a kind of vehicle identification method based on single-frame images that the embodiment of the invention proposes realizes through following technical scheme:
A kind of vehicle identification method based on single-frame images, said method comprises:
According to the single-frame images of gathering, carry out initial road and demarcate, obtain the yardstick information of diverse location vehicle;
If the current time is daytime, then territory, car base area and vehicle window zone are detected respectively, obtain the positional information of vehicle, or, then car light zone and vehicle window position are detected if the current time is night, obtain the positional information of vehicle;
According to said yardstick information and positional information, utilize symmetry to obtain the profile diagram of target vehicle;
According to said profile diagram, carry out the identification of type of vehicle.
Further preferably, said method also comprises:
Define first characteristic of different classes of vehicle in advance, same classification vehicle has identical first characteristic.
Further preferably, said according to said profile diagram, the identification of carrying out type of vehicle specifically comprises:
According to from the profile diagram of the Image Acquisition of gathering and first characteristic of different classes of auto model, carry out the registration ordering, and with the high node of registration as start node;
From start node, the semantic feature of vehicle is carried out semantic analysis, obtain the recognition result of type of vehicle.
Further preferably, said semantic feature comprises shape and structure, color, texture and/or marginal information.
Further preferably, said basis is carried out the registration ordering from the profile diagram of the Image Acquisition of collection and first characteristic of different classes of auto model, and specifically comprises as start node with the high node of registration:
Construct the 3D model of different classes of vehicle;
Mate according to the profile diagram of vehicle and the 3D model of different classes of vehicle, and sort according to registration, the high person that sorts is as the semantic analysis initial point.
In order to realize aforementioned goal of the invention, the embodiment of the invention has also proposed a kind of vehicle identifier based on single-frame images, and said device is realized through following technical scheme:
A kind of vehicle identifier based on single-frame images, said device comprises:
The road demarcating module is used for according to the single-frame images of gathering, and carries out initial road and demarcates, and obtains the yardstick information of diverse location vehicle;
The vehicle location module is used for if the current time is daytime territory, car base area and vehicle window zone being detected respectively, obtains the positional information of vehicle, or if the current time is night, then car light zone and vehicle window position is detected, and obtains the positional information of vehicle;
The vehicle identification module is used for utilizing symmetry to obtain the profile diagram of target vehicle according to said yardstick information and positional information, and according to said profile diagram, carries out the identification of type of vehicle.
Further preferably, said vehicle identification module specifically comprises:
Matched sub-block is used for carrying out the registration ordering according to from the profile diagram of the Image Acquisition of gathering and first characteristic of different classes of auto model, and with the high node of registration as start node;
The semantic analysis submodule is used for from start node, and the semantic feature of vehicle is carried out semantic analysis, obtains the recognition result of type of vehicle.
Further preferably, said device also comprises:
Make up module, be used for constructing the 3D model of different classes of vehicle.
Compared with prior art; A kind of vehicle identification method and device that the embodiment of the invention proposes based on single-frame images; Can effectively obtain vehicle structure information and characteristic information,, compare with prior art to realize effective identification to vehicle; The embodiment of the invention can identify various types of vehicles quickly and efficiently, more can satisfy the demand of road traffic law enforcement.
Description of drawings
Through the description of its exemplary embodiment being carried out below in conjunction with accompanying drawing, the above-mentioned feature and advantage of the present invention will become apparent and understand easily.
Fig. 1 is 1 one kinds of process flow diagrams based on the vehicle identification method of single-frame images of the embodiment of the invention;
Fig. 2 is that 2 one kinds of vehicle identifiers based on single-frame images of the embodiment of the invention are formed synoptic diagram;
Fig. 3 is that the embodiment of the invention 3 another kinds are formed synoptic diagram based on the vehicle identifier of single-frame images.
Embodiment
Below in conjunction with accompanying drawing the present invention is done further explain.
As shown in Figure 1, be 1 one kinds of process flow diagrams of the embodiment of the invention based on the vehicle identification method of single-frame images, said method comprises:
S101. according to the single-frame images of gathering, carry out initial road and demarcate, obtain the yardstick information of diverse location vehicle;
S102. if the current time is daytime, then territory, car base area and vehicle window zone are detected respectively, obtained the positional information of vehicle, or, then car light zone and vehicle window position are detected, obtain the positional information of vehicle if the current time is night;
S103. according to said yardstick information and positional information, utilize symmetry to obtain the profile diagram of target vehicle;
S104. according to said profile diagram, carry out the identification of type of vehicle.
Further preferably, said method also comprises:
Define first characteristic of different classes of vehicle in advance, same classification vehicle has identical first characteristic.
Though contour feature can be distinguished the part vehicle, different classes of vehicle can have similar contour feature.Except that contour feature, can there be certain general character in the vehicle of same classification, and these general character are first characteristics of identification class of vehicle.
Further preferably, said according to said profile diagram, the identification of carrying out type of vehicle specifically comprises:
According to from the profile diagram of the Image Acquisition of gathering and first characteristic of different classes of auto model, carry out the registration ordering, and with the high node of registration as start node;
From start node, the semantic feature of vehicle is carried out semantic analysis, obtain the recognition result of type of vehicle.
Further preferably, said semantic feature comprises shape and structure, color, texture and/or marginal information.
Define the semantic feature of different classes of vehicle, different classes of vehicle can comprise the different semantics characteristic.These have the characteristic of semantic information such as shape and structure, color, texture and edge etc. for these, compare with other visual signature, and very strong robustness is all arranged under different scenes.Therefore, can be according to daily priori, the semantic feature of definition all kinds vehicle.
Consider the difference at visual angle and the accuracy of demarcation, and the various interference on the road (different kinds of roads sign, shade, buildings), there is certain elasticity in auto model, usually judgements of adopting editing distance to be used as registration more.
Further preferably, said basis is carried out the registration ordering from the profile diagram of the Image Acquisition of collection and first characteristic of different classes of auto model, and specifically comprises as start node with the high node of registration:
Construct the 3D model of different classes of vehicle;
Mate according to the profile diagram of vehicle and the 3D model of different classes of vehicle, and sort according to registration, the high person that sorts is as the semantic analysis initial point.
As shown in Figure 2, in order to realize aforementioned goal of the invention, the embodiment of the invention 2 has also proposed a kind of vehicle identifier based on single-frame images, and said device is realized through following technical scheme:
A kind of vehicle identifier based on single-frame images, said device comprises:
The road demarcating module is used for according to the single-frame images of gathering, and carries out initial road and demarcates, and obtains the yardstick information of diverse location vehicle;
The vehicle location module is used for if the current time is daytime territory, car base area and vehicle window zone being detected respectively, obtains the positional information of vehicle, or if the current time is night, then car light zone and vehicle window position is detected, and obtains the positional information of vehicle;
The vehicle identification module is used for utilizing symmetry to obtain the profile diagram of target vehicle according to said yardstick information and positional information, and according to said profile diagram, carries out the identification of type of vehicle.
Further preferably, said vehicle identification module specifically comprises:
Matched sub-block is used for carrying out the registration ordering according to from the profile diagram of the Image Acquisition of gathering and first characteristic of different classes of auto model, and with the high node of registration as start node;
The semantic analysis submodule is used for from start node, and the semantic feature of vehicle is carried out semantic analysis, obtains the recognition result of type of vehicle.
As shown in Figure 3, further preferably, said device also comprises:
Make up module, be used for constructing the 3D model of different classes of vehicle.
Promptly according to the 3D model of demarcating the different classes of vehicle of structure, mate through the 3D model of judging vehicle ' s contour figure and different classes of vehicle, and sort according to registration, the high person that sorts judges starting point as semanteme; According to the difference that satisfies semantic pattern, confirm final class of vehicle.
Compared with prior art; A kind of vehicle identification method and device that the embodiment of the invention proposes based on single-frame images; Can effectively obtain vehicle structure information and characteristic information,, compare with prior art to realize effective identification to vehicle; The embodiment of the invention can identify various types of vehicles quickly and efficiently, more can satisfy the demand of road traffic law enforcement.
One of ordinary skill in the art of the present invention are appreciated that; The above embodiment of the present invention is merely one of the preferred embodiments of the present invention; Be the length restriction; Here can not all embodiments of particularize, any enforcement that can embody claim technical scheme of the present invention is all in protection scope of the present invention.
It should be noted that; Above content is to combine concrete embodiment to further explain that the present invention did; Can not assert that embodiment of the present invention only limits to this; Under above-mentioned guidance of the present invention, those skilled in the art can carry out various improvement and distortion on the basis of the foregoing description, and these improve or distortion drops in protection scope of the present invention.
Claims (8)
1. vehicle identification method based on single-frame images is characterized in that said method comprises:
According to the single-frame images of gathering, carry out initial road and demarcate, obtain the yardstick information of diverse location vehicle;
If the current time is daytime, then territory, car base area and vehicle window zone are detected respectively, obtain the positional information of vehicle, or, then car light zone and vehicle window position are detected if the current time is night, obtain the positional information of vehicle;
According to said yardstick information and positional information, utilize symmetry to obtain the profile diagram of target vehicle;
According to said profile diagram, carry out the identification of type of vehicle.
2. the method for claim 1 is characterized in that, said method also comprises:
Define first characteristic of different classes of vehicle in advance, same classification vehicle has identical first characteristic.
3. according to claim 1 or claim 2 method is characterized in that said according to said profile diagram, the identification of carrying out type of vehicle specifically comprises:
According to from the profile diagram of the Image Acquisition of gathering and first characteristic of different classes of auto model, carry out the registration ordering, and with the high node of registration as start node;
From start node, the semantic feature of vehicle is carried out semantic analysis, obtain the recognition result of type of vehicle.
4. method as claimed in claim 3 is characterized in that said semantic feature comprises shape and structure, color, texture and/or marginal information.
5. method as claimed in claim 3 is characterized in that, said basis is carried out the registration ordering from the profile diagram of the Image Acquisition of collection and first characteristic of different classes of auto model, and specifically comprises as start node with the high node of registration:
Construct the 3D model of different classes of vehicle;
Mate according to the profile diagram of vehicle and the 3D model of different classes of vehicle, and sort according to registration, the high person that sorts is as the semantic analysis initial point.
6. the vehicle identifier based on single-frame images is characterized in that, said device comprises:
The road demarcating module is used for according to the single-frame images of gathering, and carries out initial road and demarcates, and obtains the yardstick information of diverse location vehicle;
The vehicle location module is used for if the current time is daytime territory, car base area and vehicle window zone being detected respectively, obtains the positional information of vehicle, or if the current time is night, then car light zone and vehicle window position is detected, and obtains the positional information of vehicle;
The vehicle identification module is used for utilizing symmetry to obtain the profile diagram of target vehicle according to said yardstick information and positional information, and according to said profile diagram, carries out the identification of type of vehicle.
7. device as claimed in claim 6 is characterized in that, said vehicle identification module specifically comprises:
Matched sub-block is used for carrying out the registration ordering according to from the profile diagram of the Image Acquisition of gathering and first characteristic of different classes of auto model, and with the high node of registration as start node;
The semantic analysis submodule is used for from start node, and the semantic feature of vehicle is carried out semantic analysis, obtains the recognition result of type of vehicle.
8. device as claimed in claim 7 is characterized in that, said device also comprises:
Make up module, be used for constructing the 3D model of different classes of vehicle.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103207988A (en) * | 2013-03-06 | 2013-07-17 | 大唐移动通信设备有限公司 | Method and device for image identification |
| CN104036288A (en) * | 2014-05-30 | 2014-09-10 | 宁波海视智能系统有限公司 | Vehicle type classification method based on videos |
| CN104732245A (en) * | 2015-04-14 | 2015-06-24 | 万里运业股份有限公司 | Identification and pre-warning method of hazardous article conveying vehicle appearing in front of coach bus |
| CN106504542A (en) * | 2016-09-30 | 2017-03-15 | 北京中星微电子有限公司 | Speed intelligent monitoring method and system |
| CN106898016A (en) * | 2017-01-19 | 2017-06-27 | 博康智能信息技术有限公司北京海淀分公司 | Obtain the method and device of vehicle scale information in traffic image |
| CN107292282A (en) * | 2017-07-04 | 2017-10-24 | 西安交通大学 | A kind of vehicle checking method updated based on semantic reasoning and space-time memory |
| CN108491782A (en) * | 2018-03-16 | 2018-09-04 | 重庆大学 | A kind of vehicle identification method based on driving Image Acquisition |
| CN108621924A (en) * | 2018-02-08 | 2018-10-09 | 常州星宇车灯股份有限公司 | A kind of control system for rear light and its control method with prompt facility |
| CN108960228A (en) * | 2017-05-18 | 2018-12-07 | 富士通株式会社 | Detection device, method and the image processing equipment of vehicle |
| CN113255494A (en) * | 2021-05-17 | 2021-08-13 | 开放智能机器（上海）有限公司 | Method and system for monitoring illegally-invaded vehicle in real time |
| CN114648639A (en) * | 2022-05-19 | 2022-06-21 | 魔视智能科技(武汉)有限公司 | Target vehicle detection method, system and device |
| CN115626159A (en) * | 2021-07-01 | 2023-01-20 | 信扬科技(佛山)有限公司 | Vehicle warning system and method and automobile |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7302085B2 (en) * | 2003-03-17 | 2007-11-27 | Fujitsu Limited | Vehicle identification method and device |
| CN101794515A (en) * | 2010-03-29 | 2010-08-04 | 河海大学 | Target detection system and method based on covariance and binary-tree support vector machine |
-
2012
- 2012-03-26 CN CN2012100828145A patent/CN102663353A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7302085B2 (en) * | 2003-03-17 | 2007-11-27 | Fujitsu Limited | Vehicle identification method and device |
| CN101794515A (en) * | 2010-03-29 | 2010-08-04 | 河海大学 | Target detection system and method based on covariance and binary-tree support vector machine |
Non-Patent Citations (2)
| Title |
|---|
| 付彦君: "道路环境下车辆的实时检测", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
| 鲍溪清: "基于多尺度区域网格的公路车辆自动检测识别", 《大连铁道学院学报》 * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103207988B (en) * | 2013-03-06 | 2016-02-10 | 大唐移动通信设备有限公司 | A kind of image-recognizing method and device |
| CN103207988A (en) * | 2013-03-06 | 2013-07-17 | 大唐移动通信设备有限公司 | Method and device for image identification |
| CN104036288A (en) * | 2014-05-30 | 2014-09-10 | 宁波海视智能系统有限公司 | Vehicle type classification method based on videos |
| CN104732245A (en) * | 2015-04-14 | 2015-06-24 | 万里运业股份有限公司 | Identification and pre-warning method of hazardous article conveying vehicle appearing in front of coach bus |
| CN104732245B (en) * | 2015-04-14 | 2017-10-10 | 万里运业股份有限公司 | For occurring identification during hazardous materials transportation car and method for early warning in front of coach |
| CN106504542A (en) * | 2016-09-30 | 2017-03-15 | 北京中星微电子有限公司 | Speed intelligent monitoring method and system |
| CN106898016A (en) * | 2017-01-19 | 2017-06-27 | 博康智能信息技术有限公司北京海淀分公司 | Obtain the method and device of vehicle scale information in traffic image |
| CN108960228A (en) * | 2017-05-18 | 2018-12-07 | 富士通株式会社 | Detection device, method and the image processing equipment of vehicle |
| CN107292282B (en) * | 2017-07-04 | 2019-10-11 | 西安交通大学 | A kind of vehicle checking method updated based on semantic reasoning and space-time memory |
| CN107292282A (en) * | 2017-07-04 | 2017-10-24 | 西安交通大学 | A kind of vehicle checking method updated based on semantic reasoning and space-time memory |
| CN108621924A (en) * | 2018-02-08 | 2018-10-09 | 常州星宇车灯股份有限公司 | A kind of control system for rear light and its control method with prompt facility |
| CN108491782A (en) * | 2018-03-16 | 2018-09-04 | 重庆大学 | A kind of vehicle identification method based on driving Image Acquisition |
| CN108491782B (en) * | 2018-03-16 | 2020-09-08 | 重庆大学 | Vehicle identification method based on driving image acquisition |
| CN113255494A (en) * | 2021-05-17 | 2021-08-13 | 开放智能机器（上海）有限公司 | Method and system for monitoring illegally-invaded vehicle in real time |
| CN115626159A (en) * | 2021-07-01 | 2023-01-20 | 信扬科技(佛山)有限公司 | Vehicle warning system and method and automobile |
| CN114648639A (en) * | 2022-05-19 | 2022-06-21 | 魔视智能科技(武汉)有限公司 | Target vehicle detection method, system and device |
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Application publication date: 20120912 |