CN103617735A - Vehicle identification method and system - Google Patents
Vehicle identification method and system Download PDFInfo
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- CN103617735A CN103617735A CN201310718188.9A CN201310718188A CN103617735A CN 103617735 A CN103617735 A CN 103617735A CN 201310718188 A CN201310718188 A CN 201310718188A CN 103617735 A CN103617735 A CN 103617735A
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Abstract
The application discloses a vehicle identification method which comprises the following steps: obtaining front surface feature information corresponding to the front surface of a vehicle; obtaining rear surface feature information corresponding to the rear surface of the vehicle; when the feature information in the front surface feature information and/or the rear surface feature information meets the preset conditions, extracting the feature information meeting the preset conditions as identification results of the vehicle. According to the method, the identification results of the vehicle can be relatively accurately obtained by taking the rear surface feature information as the supplementation of the front surface feature information; the method is more accurate in comparison with a method in which an identification result of one surface of the vehicle is taken as a final identification result in the prior art.
Description
Technical field
The application relates to vehicle identification field, particularly relates to a kind of vehicle identification method and system.
Background technology
Along with social progress, the usable range of automobile in life is more and more extensive, the management work of automobile is also day by day heavy with the quick increase of automobile quantity, in the place that need to carry out vehicle identification, as crossroad, gateway, parking lot, important highway location etc., need to carry out the identification of vehicle specifying information, for example identify sign and the licence plate of vehicle, generally by video camera, the vehicle of process is taken pictures, by photographic intelligence, identify the information of vehicle, but because installation site and the vehicle of recognition device has certain distance, while is due to the impact of external environment, as the reflected light of sunlight on vehicle can disturb the shooting effect of camera head, or the too short camera head that makes of the distance of front and back two cars can not photograph the wherein information of vehicles of a car, thereby make can not be correct to the identification of information of vehicles be identified.
The recognition method of such single camera can only be identified according to the image of the one side of vehicle, and if there is above-mentioned situation, the mode of such one side identification obviously can not meet the needs of vehicle identification.
Summary of the invention
In view of this, the embodiment of the present application provides a kind of vehicle identification method, can, by back side characteristic information as the supplementing of positive feature information, obtain more accurately the recognition result of vehicle.
To achieve these goals, the technical scheme that the application provides is as follows:
A vehicle identification method, the method comprises:
Obtain the positive corresponding positive feature information of vehicle;
Obtain back side characteristic information corresponding to the described vehicle back side;
Characteristic information in described positive feature information and/or back side characteristic information meets when pre-conditioned, extracts describedly to meet pre-conditioned characteristic information as the recognition result of described vehicle.
Preferably, described characteristic information comprises car mark information, the number-plate number, car plate type and car plate color, and the characteristic information in described positive feature information and back side characteristic information meets when pre-conditioned, comprising:
When the degree of confidence of described car mark information, the number-plate number, car plate type or car plate color surpasses predetermined threshold value, meet pre-conditioned.
Preferably, described in, obtaining the positive characteristic of correspondence information of vehicle is specially:
Obtain the direct picture of the described vehicle of having taken;
According to vehicle characteristics recognizer, identify described direct picture, to obtain described positive feature information.
Preferably, described in, obtaining vehicle back side characteristic of correspondence information is specially:
Obtain the back side image of the described vehicle of having taken;
According to described positive feature information, identify described back side image, to obtain described back side characteristic information.
Preferably, describedly also comprise before meeting the recognition result of pre-conditioned characteristic information as described vehicle extracting:
Determine that described vehicle, not with car phenomenon, is specially: determine that described vehicle front or back side car plate be not by other occlusions.
The application also provides a kind of vehicle identification system, comprising:
The first identification module, for identifying the positive feature information of vehicle;
The second identification module, for identifying the back side characteristic information of vehicle;
Processing module, for obtaining the positive corresponding positive feature information of described vehicle, and obtain back side characteristic information corresponding to the described vehicle back side, characteristic information in described positive feature information and/or back side characteristic information meets when pre-conditioned, extracts describedly to meet pre-conditioned characteristic information as the recognition result of described vehicle.
Preferably, described the first identification module comprises:
First takes unit, for taking the direct picture of vehicle;
The first recognition unit, for identifying described direct picture according to vehicle characteristics recognizer, to obtain described positive feature information.
Preferably, described the second identification module comprises:
Second takes unit, for taking the direct picture of vehicle;
The second recognition unit, for identifying described back side image according to described positive feature information, to obtain described back side characteristic information.
Preferably, described system also comprises:
The first trigger module, for generating the first trigger pip, triggers described the first identification module and starts working.
The second trigger module, for generating the second trigger pip, triggers described the second identification module and starts working.
Preferably, described processing module also comprises:
With car determining unit, for determining that described vehicle, not with car situation, is specially identification described vehicle front car plate or back side car plate not by other occlusions.
The vehicle identification method that the embodiment of the present application provides, by obtaining the positive corresponding positive feature information of described vehicle; Obtain back side characteristic information corresponding to the described vehicle back side; Characteristic information in described positive feature information and/or back side characteristic information meets when pre-conditioned, extracts describedly to meet pre-conditioned characteristic information as the recognition result of described vehicle.Not only obtained the characteristic information in vehicle front, also obtained the characteristic information at the vehicle back side, realized the identification to the multi-angle of vehicle characteristics information, if the real information of the reflection vehicle that positive characteristic information can not complete and accurate, can also pass through back side characteristic information supplementing as positive feature information, obtain more accurately the recognition result of vehicle, than only utilizing in prior art, the recognition result of vehicle one side is more accurate as final recognition result.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, the accompanying drawing the following describes is only some embodiment that record in the application, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The schematic flow sheet of a kind of vehicle identification method that Fig. 1 provides for the embodiment of the present application;
The schematic diagram of a kind of vehicle identification system that Fig. 2 provides for the embodiment of the present application.
Embodiment
In order to make those skilled in the art person understand better the technical scheme in the application, below in conjunction with the accompanying drawing in the embodiment of the present application, technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment is only the application's part embodiment, rather than whole embodiment.Embodiment based in the application, those of ordinary skills are not making the every other embodiment obtaining under creative work prerequisite, all should belong to the scope of the application's protection.
The embodiment of the present application provides a kind of vehicle identification method, as shown in Figure 1, comprising:
In the embodiment of the present application, the acquisition process of the positive feature information of vehicle is specially: the direct picture that obtains the described vehicle of having taken;
According to vehicle identification algorithm, identify described direct picture, to obtain described positive feature information.
Because vehicle is when process needs the place of identification, as crossing, gateway, parking lot etc., it is all forward travel, the camera head of taking vehicle is all generally the direct picture that first photographs vehicle, the front of vehicle is the one side of car plate before vehicle is installed, by the direct picture of the vehicle taken, the direct picture having photographed according to the identification of vehicle identification algorithm, from direct picture, obtain positive feature information, positive feature information can comprise the positive car mark information of vehicle, the number-plate number, car plate type and car plate color, can from direct picture, identify the concrete car mark that obtains vehicle, from license plate image, identification obtains the concrete number of car plate, difference due to type of vehicle, generally can characterize by car plate, as the normal domestic car plate of China, car plate is wrongly written or mispronounced character of the single blue end, first is the abbreviation in province, place from left to right, second is the English alphabet in concrete city, place, latter several is the concrete number being comprised of letter and number, and goods stock, car plate is yellow end surplus, and military license plate is single white gravoply, with black engraved characters etc., and the car plate of country variant difference to some extent, concrete identifying the application repeats no more.
Impact due to actual environment, make the positive feature information that recognizes from direct picture not accurate enough, or can not recognize positive feature information, reflective due to bonnet before vehicle for example, make camera head can not photograph suitable direct picture, because the reflective direct picture that makes is a slice white light, and can not from such image, recognize positive feature information, or because vehicle and last car that needs are taken are excessively near with car, last car bumper is between filming apparatus and a rear car, make filming apparatus can not photograph the direct picture of a rear car, thereby also None-identified gets positive feature information.
The embodiment of the present application is by after having obtained the positive feature information of vehicle, may not get complete positive feature information, even if or got complete positive feature information, may be due to the image quality issues of taking, make recognition result may have deviation, so the embodiment of the present application is after getting positive feature information, obtain again the back side characteristic information of vehicle, the one side of back side car plate is installed in the back side of vehicle, back side characteristic information can comprise the car mark information at the vehicle back side, the number-plate number, the information such as car plate type and car plate color, by the back side image having photographed, identify back side characteristic information.
When the characteristic information of the identification back side, can be according to the positive feature information identification back side image having got, if the car plate that recognizes vehicle by direct picture is the single car plate of blue end wrongly written or mispronounced character, so when identification back side image, just can directly use the single Recognition Algorithm of License Plate of blue end wrongly written or mispronounced character further to identify, and without the color identification of carrying out again car plate, the topmost recognition result of identifying due to car plate is exactly the identification of the number-plate number, if so recognized the car plate color of front car plate, the identification of back side image can be according to the car plate color having recognized so, directly carry out the identification of the number-plate number, and without carrying out again the identification of car plate color, reduce the calculating strength of identification.
Obtaining of direct picture and back side image can be by other device trigger, generates trigger pip, after getting trigger pip, just can take the front of vehicle or the back side, and obtain after image in shooting, carries out the identification of characteristic information.Trigger pip is exactly to trigger to start to carry out obtaining of positive feature information and back side characteristic information.
Certainly, the identification of back side characteristic information also can directly be identified, and not based on the positive feature information of having obtained, i.e. the identification of the identification of positive feature information and back side characteristic information is two identifyings completely independently, the application does not limit the concrete identifying of characteristic information.
Describedly meet pre-conditioned characteristic information and can also comprise before as the recognition result of described vehicle extracting: determine that described vehicle do not follow car phenomenon, be specially: determine that described vehicle front or back side car plate be not by other occlusions.Can be by identification above-mentioned direct picture and back side image, whether judgement car plate wherein by other occlusions, when judgement obtains car plate and is not blocked, determine that described vehicle do not follow car phenomenon, then carry out the extraction of characteristic information.
Now, if the recognition result difference of the front and back number-plate number is very large, and the degree of confidence of twice identification all meets pre-conditioned, also can confirm to occur with car phenomenon, in actual environment-identification, can there is this situation below, after the identification of positive feature information of having carried out a car, vehicle travels forward, but because vehicle following distance is very near below, filming apparatus had not both photographed the back side car plate of last car, also the front car plate of a vehicle after not photographing, but move to behind precalculated position at a rear car, photographed the back side car plate of a rear vehicle, and then recognized the back side number-plate number of a rear vehicle, now the positive feature information of last vehicle can be to meet the degree of confidence condition that surpasses, then the degree of confidence of the back side characteristic information of a car also meets pre-conditioned, but there is very big difference in both number-plate number recognition results, so, even if it is pre-conditioned that the degree of confidence of positive feature information and back side characteristic information all meets, but there is very big difference in the number-plate number, now just can determine and learn that existence is with car phenomenon.
In the embodiment of the present application when described car mark information, the number-plate number, when the degree of confidence of car plate type or car plate color surpasses predetermined threshold value, meet pre-conditioned, owing to can comprising a plurality of characteristic informations in positive feature information and back side characteristic information, degree of confidence wherein need to be surpassed to the characteristic information of predetermined threshold value as the final recognition result of vehicle, for example in positive feature information and back side characteristic information, all comprise same characteristic information, as positive feature information comprises the recognition result of the number-plate number, in the characteristic information of the back side, also comprise the recognition result of the number-plate number, so just by the recognition result of two number-plate numbers, the highest characteristic information of degree of confidence is as the recognition result of vehicle, final like this recognition result will farthest reflect the truth of vehicle.
The vehicle identification method that the embodiment of the present application provides, by obtaining the positive corresponding positive feature information of described vehicle; Obtain back side characteristic information corresponding to the described vehicle back side; Characteristic information in described positive feature information and/or back side characteristic information meets when pre-conditioned, extracts describedly to meet pre-conditioned characteristic information as the recognition result of described vehicle.Not only obtained the characteristic information in vehicle front, also obtained the characteristic information at the vehicle back side, realized the identification to the multi-angle of vehicle characteristics information, if the real information of the reflection vehicle that positive characteristic information can not complete and accurate, can also pass through back side characteristic information supplementing as positive feature information, obtain more accurately the recognition result of vehicle, than only utilizing in prior art, the recognition result of vehicle one side is more accurate as final recognition result.
The application also provides a kind of vehicle identification system, as shown in Figure 2, comprising:
The first identification module 100, for identifying the positive feature information of vehicle;
The second identification module 200, for identifying the back side characteristic information of vehicle;
Processing module 300, for obtaining the positive corresponding positive feature information of described vehicle, and obtain back side characteristic information corresponding to the described vehicle back side, characteristic information in described positive feature information and/or back side characteristic information meets when pre-conditioned, extracts describedly to meet pre-conditioned characteristic information as the recognition result of described vehicle.
Described characteristic information comprises car mark information, the number-plate number, car plate type and car plate color, and the characteristic information in described positive feature information and back side characteristic information meets when pre-conditioned, comprising:
When the degree of confidence of described car mark information, the number-plate number, car plate type or car plate color surpasses predetermined threshold value, meet pre-conditioned.
Described the first identification module, comprising:
First takes unit, for taking the direct picture of vehicle;
The first recognition unit, for identifying described direct picture according to vehicle characteristics recognizer, to obtain described positive feature information.
Described the second identification module, comprising:
Second takes unit, for taking the direct picture of vehicle;
The second recognition unit, for identifying described back side image according to described positive feature information, to obtain described back side characteristic information.
Described system also comprises:
The first trigger module, for generating the first trigger pip, triggers described the first identification module and starts working.
The second trigger module, for generating the second trigger pip, triggers described the second identification module and starts working.
Described the first trigger module, the second trigger module can be ground induction coils, or other sensors, at vehicle, through out-of-date, generate trigger pip, trigger identification module and start working.
Described processing module also comprises:
With car determining unit, for determining that described vehicle, not with car situation, is specially identification described vehicle front car plate or back side car plate not by other occlusions.
The vehicle identification system that the embodiment of the present application provides, can get the characteristic information on the front and back two sides of a car, can obtain more accurately the recognition result of vehicle, more more accurate than the feature of only identifying vehicle one side in prior art.
It should be noted that, in this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, article or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, article or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
It should be noted that, the above is only a part of preferred embodiment of present techniques scheme, make those skilled in the art can fully understand or realize the application, rather than whole embodiment, General Principle as defined herein can be in the situation that do not depart from the application's spirit or scope, realization in other embodiments.Therefore; based on above embodiment; for those skilled in the art; do not depart from the application's principle, do not making under creative work prerequisite, can also make multiple apparent modification and retouching; the every other embodiment obtaining by these modifications and retouching; can be applied to present techniques scheme, these do not affect the application's realization, all should belong to the application's protection domain.Therefore, the application will can not be restricted to these embodiment shown in this article, but will accord with principle disclosed herein and features of novelty the widest consistent scope.
Above the application is described in detail, application herein can specific case be set forth the application's principle and embodiment, the explanation of above embodiment is just for helping to understand the application's method and core concept thereof, simultaneously, for one of ordinary skill in the art, the thought according to the application, all will change in specific embodiments and applications, in sum, this description should not be construed as the restriction to the application.
Claims (10)
1. a vehicle identification method, is characterized in that, the method comprises:
Obtain the positive corresponding positive feature information of vehicle;
Obtain back side characteristic information corresponding to the described vehicle back side;
Characteristic information in described positive feature information and/or back side characteristic information meets when pre-conditioned, extracts describedly to meet pre-conditioned characteristic information as the recognition result of described vehicle.
2. method according to claim 1, is characterized in that, described characteristic information comprises car mark information, the number-plate number, car plate type and car plate color, and the characteristic information in described positive feature information and back side characteristic information meets when pre-conditioned, comprising:
When the degree of confidence of described car mark information, the number-plate number, car plate type or car plate color surpasses predetermined threshold value, meet pre-conditioned.
3. method according to claim 1, is characterized in that, described in obtain the positive characteristic of correspondence information of vehicle and be specially:
Obtain the direct picture of the described vehicle of having taken;
According to vehicle characteristics recognizer, identify described direct picture, to obtain described positive feature information.
4. method according to claim 1, is characterized in that, described in obtain vehicle back side characteristic of correspondence information and be specially:
Obtain the back side image of the described vehicle of having taken;
According to described positive feature information, identify described back side image, to obtain described back side characteristic information.
5. method according to claim 1, is characterized in that, describedly also comprises before meeting the recognition result of pre-conditioned characteristic information as described vehicle extracting:
Determine that described vehicle, not with car phenomenon, is specially: determine that described vehicle front or back side car plate be not by other occlusions.
6. a vehicle identification system, is characterized in that, comprising:
The first identification module, for identifying the positive feature information of vehicle;
The second identification module, for identifying the back side characteristic information of vehicle;
Processing module, for obtaining the positive corresponding positive feature information of described vehicle, and obtain back side characteristic information corresponding to the described vehicle back side, characteristic information in described positive feature information and/or back side characteristic information meets when pre-conditioned, extracts describedly to meet pre-conditioned characteristic information as the recognition result of described vehicle.
7. system according to claim 6, is characterized in that, described the first identification module comprises:
First takes unit, for taking the direct picture of vehicle;
The first recognition unit, for identifying described direct picture according to vehicle characteristics recognizer, to obtain described positive feature information.
8. system according to claim 6, is characterized in that, described the second identification module comprises:
Second takes unit, for taking the back side image of vehicle;
The second recognition unit, for identifying described back side image according to described positive feature information, to obtain described back side characteristic information.
9. system according to claim 6, is characterized in that, described system also comprises:
The first trigger module, for generating the first trigger pip, triggers described the first identification module and starts working;
The second trigger module, for generating the second trigger pip, triggers described the second identification module and starts working.
10. system according to claim 6, is characterized in that, described processing module also comprises:
With car determining unit, for determining that described vehicle, not with car situation, is specially identification described vehicle front car plate or back side car plate not by other occlusions.
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| CN104167099A (en) * | 2014-08-13 | 2014-11-26 | 青岛盛嘉信息科技有限公司 | Electronic eye |
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| CN110491133A (en) * | 2019-08-08 | 2019-11-22 | 横琴善泊投资管理有限公司 | A kind of information of vehicles correction system and method based on confidence level |
| CN110491133B (en) * | 2019-08-08 | 2020-10-16 | 善泊科技(珠海)有限公司 | Vehicle information correction system and method based on confidence |
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