CN102768799B - Method for detecting red light running of vehicle at night - Google Patents
Method for detecting red light running of vehicle at night Download PDFInfo
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- CN102768799B CN102768799B CN201110431878.7A CN201110431878A CN102768799B CN 102768799 B CN102768799 B CN 102768799B CN 201110431878 A CN201110431878 A CN 201110431878A CN 102768799 B CN102768799 B CN 102768799B
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Abstract
The invention discloses a method and a device for detecting red light running of a vehicle at night, relates to the field of intelligent traffic systems, and aims to solve the problem that accuracy of identifying vehicles running the red light at night is reduced. The method includes the steps: setting a detecting area and detecting a virtual coil; acquiring a continuous video frame and judging whether to detect red light running or not according to signals transmitted by a red light repeater; detecting the condition of a taillight in the virtual coil; judging whether to acquire a first regulation violation picture or not according to change of the condition of the taillight; and detecting a taillight of the vehicle behind a stop line and acquiring subsequent regulation violation pictures. The method is applicable to the intelligent traffic systems.
Description
Technical field
The present invention relates to intelligent transportation field, relate in particular to a kind of vehicle at night for urban traffic intersection detection method of making a dash across the red light.
Background technology
It is the important component part of Management of City Traffic that running red light for vehicle detects, and because illuminance is high, be easy to carry out vehicle detection daytime, and night lighting degree is low, car light light intensity changes greatly, and the noise in video is large, and the vehicle checking method that makes to be applicable to daytime can not be applicable to the vehicle detection at night.
In existing technology, be to adopt background subtraction method to extract area-of-interest mostly, by current frame image and background image are carried out to calculus of differences, extract target area, feature extraction is carried out in target area, carried out the judgement of vehicle by the feature in region.In these class methods, the extraction of background and renewal are key points, and because night lighting degree is low, car light light intensity changes greatly, and the noise in video is large, are difficult to form stable background, and the vehicle checking method that makes to be applicable to daytime can not be applicable to the vehicle detection at night.Or adopt frame difference method by adjacent frame of video carry out difference extract region-of-interest, region-of-interest is carried out to vehicle detection, this for always in motion in vehicle be effective.If vehicle stop or motion are slowly, this method is just difficult to detect vehicle.
Summary of the invention
The embodiment of the present invention provides a kind of vehicle at night detection method of making a dash across the red light, and is applicable to the detection of night traffic crossing running red light for vehicle.
For solving above technical matters, the present invention adopts following technical scheme to realize: the described vehicle at night detection method of making a dash across the red light comprises the steps:
1) surveyed area be set and detect virtual coil;
2) obtain continuous frame of video;
3) signal of beaming back according to the red signal transponder detection that judges whether to make a dash across the red light;
4) detect the taillight situation in virtual coil; Judge whether to carry out obtaining of the first width picture violating the regulations according to the variation of taillight situation;
5) obtaining of the detection of the light for vehicle after stop line and follow-up picture violating the regulations;
6) by synthetic one of three red light violation pictures, and show feature part.
In technical scheme the 1st) item arrange surveyed area and detect virtual coil, comprise the steps:
1) surveyed area setting: the track of detecting as required determines that the scope of video image processing, i.e. surveyed area, front and back comprise the region of three lengths of wagon after stop line the first two length of wagon and stop line.Width comprises the lane width that all needs detect;
2) virtual coil setting: in surveyed area, before the stop line in the track of detecting at needs, virtual coil 1 is set, width is lane width, and length is the length of a dolly; After the stop line in track detecting at needs, zebra stripes section start arranges virtual coil 2, and width is lane width, as reserved the width of zebra stripes without zebra stripes after, virtual coil 2 is set, and length is the length of a dolly.
In technical scheme the 2nd) obtain continuous frame of video, comprise the steps:
Obtain continuous video flowing by crossing video camera, transfer to center processor through optical transmitter and receiver, switch, carry out Video processing by center processor.
In technical scheme the 3rd) comprise the steps:
The red signal at crossing is received by the red signal transponder that is installed on crossing, transfers to center processor through optical transmitter and receiver, switch, is processed by center processor, determines that the behavior of making a dash across the red light of corresponding track being carried out to vehicle detects.
In technical scheme the 4th) comprise the steps:
1) set up light for vehicle information recording table in virtual coil 1, comprising: in pairs the distance of taillight and with lane width ratio, three looks of taillight (r, g, average b).
2), if current monitoring track is red light phase, detect all light for vehicles in virtual coil 1.
3) whether inquiry has taillight pair in the tail-lamp information record sheet of the track of red light phase.
4) as in tail-lamp information record sheet without taillight, check in present frame whether have the taillight pair that meets vehicle condition.If any, by this taillight to adding in tail-lamp information record sheet; As nothing, this two field picture processing finishes, and is empty in tail-lamp information record sheet.
5) as having taillight in tail-lamp information record sheet, in look-up table taillight to whether with taillight corresponding in present frame to coupling, in this way, taillight in updating form, if not, judges that this vehicle has rolled virtual coil 1 away from, starts high definition camera and captures the first width picture.
In technical scheme the 5th) comprise the steps:
The detection of the light for vehicle in virtual coil 2, light for vehicle and right the mating of taillight disappearing in aforementioned virtual coil 1, as the match is successful, be judged as vehicle and enter this region, starts high definition camera and capture follow-up two width picture violating the regulations.
In technical scheme the 6th) comprise the steps:
The consistent judgement of corresponding vehicle in three width pictures, is judged as the vehicle making a dash across the red light and belongs to same vehicle, and by a synthetic three width pictures width, and show vehicle tail car plate feature.
Scheme of the present invention, by the extraction of virtual coil 1, the 2 interior light for vehicles in surveyed area, mate with the information in record sheet, whether cross stop line and continue to travel when the red light phase place in corresponding track to judge vehicle, and start high definition camera and capture, form complete evidence, realize the detection of night to running red light for vehicle behavior.
Accompanying drawing explanation
The vehicle at night that Fig. 1 provides for the embodiment of the present invention overhaul flow chart that makes a dash across the red light;
The region division figure that Fig. 2 provides for the embodiment of the present invention;
The overhaul flow chart of the virtual coil 1 that Fig. 3 provides for the embodiment of the present invention;
The processing flow chart when tail-lamp information that Fig. 4 provides for the embodiment of the present invention is empty;
The processing flow chart when tail-lamp information that Fig. 5 provides for the embodiment of the present invention is not empty;
The tail-lamp information renewal processing flow chart that Fig. 6 provides for the embodiment of the present invention;
Fig. 7 rolls decision flow chart away from for the vehicle that the embodiment of the present invention provides;
The overhaul flow chart of the virtual coil 2 that Fig. 8 provides for the embodiment of the present invention;
The image synthetic schemes violating the regulations that Fig. 9 provides for the embodiment of the present invention;
The image composite diagram example violating the regulations that Figure 10 provides for the embodiment of the present invention.
Embodiment
In order to solve the running red light for vehicle test problems at night traffic crossing, the inventive example provides a kind of vehicle at night make a dash across the red light detection method and device.The track of detecting according to need, arranges suitable surveyed area and virtual coil.The red signal of passing back according to crossing determines whether corresponding track to detect.In the virtual coil of surveyed area, carry out the right detection of light for vehicle.Start high definition camera according to dependency rule and capture vehicle peccancy picture.
Below in conjunction with the drawings and specific embodiments, the inventive method is elaborated.
The vehicle at night providing for the embodiment of the present invention as Fig. 1 overhaul flow chart that makes a dash across the red light, comprising:
Virtual coil arranges: in surveyed area, before the stop line in the track of detecting at needs, virtual coil 1 is set, width is lane width, and length is the length of a dolly; After the stop line in track detecting at needs, zebra stripes section start arranges virtual coil 2, and width is lane width, as reserved the width of zebra stripes without zebra stripes after, virtual coil 2 is set, and length is the length of a dolly.As Fig. 2.
As shown in Figure 3, described step 104 specifically comprises:
G, r, g, b gray-scale value, red color component value, green component values, the blue component value of represent pixel respectively in formula.Appropriate threshold th is set, and the pixel color component that is greater than this threshold value remains unchanged, and the pixel color component that is less than this threshold value is taken as 0
I is that field color is redder compared with the pixel in bright area, and this value is larger.Select suitable threshold value rth, for region retain as light for vehicle, for region remove.
As shown in Figure 4, after the rear described step of step 304, also need to carry out carrying out:
Step 403, if having taillight in current frame image to eigenwert, counts this in tail-lamp information table.If no, except next frame image.
As shown in Figure 5, in the time that tail-lamp information table is not sky, carry out:
As shown in Figure 6, after step 503, carry out:
For the taillight of current frame image is to eigenwert, for the taillight in tail-lamp information table is to eigenwert.If be less than certain threshold value apart from d, the match is successful.
After step 503, when taillight characteristic information does not mate, carry out step as shown in Figure 7:
As shown in Fig. 8, described step 105 specifically comprises:
Step 801, detects virtual coil 2 compared with bright area.Detection method is identical with step 301, repeats no more herein.
Step 802 is selected partially red region in brighter region.Method is identical with step 302, repeats no more herein.
Step 803, matches to inclined to one side red sector territory, forms region pair.Method is identical with step 303, repeats no more herein.
Step 804, to region to extract feature, as vehicle characteristics.Method is identical with step 304, repeats no more herein.
Step 805, mate the vehicle characteristics of extraction with the vehicle characteristics in virtual coil 1, if the match is successful sends and capture second and third width image, detect if mate the unsuccessful next frame of proceeding.
As shown in Fig. 9, described step 106 specifically comprises:
Claims (6)
1. the vehicle at night detection method of making a dash across the red light, is characterized in that:
1) surveyed area be set and detect virtual coil;
2) obtain continuous frame of video;
3) signal of beaming back according to the red signal transponder detection that judges whether to make a dash across the red light;
4) detect the taillight situation in virtual coil, judge whether to carry out obtaining of the first width picture violating the regulations according to the variation of taillight situation;
5) obtaining of the detection of the light for vehicle after stop line and follow-up picture violating the regulations;
6) by synthetic one of three red light violation pictures, and show feature part;
Wherein, the taillight situation in described detection virtual coil, judges whether to carry out obtaining of the first width picture violating the regulations according to the variation of taillight situation, comprising:
A) set up light for vehicle information recording table in virtual coil 1, contain: in pairs the distance of taillight and with lane width ratio, three looks of taillight (r, g, average b);
If b) current monitoring track is red light phase, detect all light for vehicles in virtual coil 1;
C) whether inquiry has taillight pair in the tail-lamp information record sheet of the track of red light phase;
D) as in tail-lamp information record sheet without taillight, check in present frame whether have the taillight pair that meets vehicle condition, if any, by this taillight to adding in tail-lamp information record sheet, as nothing, this two field picture processing finishes, and be sky in tail-lamp information record sheet;
E) as having taillight in tail-lamp information record sheet, in look-up table taillight to whether with taillight corresponding in present frame to coupling, in this way, taillight in updating form, if not, judges that this vehicle has rolled virtual coil 1 away from, starts high definition camera and captures the first width picture.
2. a kind of vehicle at night according to claim 1 detection method of making a dash across the red light, is characterized in that, described arranges surveyed area and detect virtual coil, comprising:
1) surveyed area setting: the scope of video image processing is determined in the track of detecting as required, i.e. surveyed area, the region before comprising stop line and after stop line;
2) virtual coil setting: in surveyed area, before the stop line in the track of detecting at needs, first virtual coil is set, after the stop line in the track of detecting at needs, second virtual coil is set.
3. a kind of vehicle at night according to claim 1 detection method of making a dash across the red light, it is characterized in that, described obtain continuous frame of video, comprising: obtain continuous video flowing by crossing video camera, transfer to center processor through optical transmitter and receiver, switch, carry out Video processing by center processor.
4. a kind of vehicle at night according to claim 1 detection method of making a dash across the red light, it is characterized in that, the detection that judges whether to make a dash across the red light of the described signal of beaming back according to red signal transponder, comprise: the red signal at crossing transfers to center processor by the red signal transponder that is installed on crossing through optical transmitter and receiver, switch, is processed by center processor.
5. a kind of vehicle at night according to claim 1 detection method of making a dash across the red light, it is characterized in that, obtaining of light for vehicle detection after described stop line and follow-up picture violating the regulations, comprise: the detection of the light for vehicle in virtual coil 2, light for vehicle and right the mating of taillight disappearing in aforementioned virtual coil 1, as the match is successful, be judged as vehicle and enter this region, start high definition camera and capture follow-up two width picture violating the regulations.
6. a kind of vehicle at night according to claim 1 detection method of making a dash across the red light, it is characterized in that, described synthesizes a width by three width red light violation pictures, and show feature part, comprise: the consistent judgement of corresponding vehicle in three width pictures, be judged as the vehicle making a dash across the red light and belong to same vehicle, and by a synthetic three width pictures width, and show vehicle tail car plate feature.
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| CN105389991B (en) * | 2015-12-03 | 2017-12-15 | 杭州中威电子股份有限公司 | A kind of adaptive Jaywalking snapshot method |
| CN107240259A (en) * | 2016-03-28 | 2017-10-10 | 深圳市以捷创新科技有限公司 | The peccancy detection method of smart electronicses police's system for detecting regulation violation |
| CN106128112B (en) * | 2016-07-26 | 2018-09-18 | 海南怡盟电子科技有限公司 | Night bayonet vehicle identifies grasp shoot method |
| CN112349087B (en) * | 2019-08-07 | 2021-10-15 | 北京博研智通科技有限公司 | Visual data input method based on holographic perception of intersection information |
| CN111145551A (en) * | 2020-01-03 | 2020-05-12 | 南京邮电大学 | Intersection traffic planning system based on CNN detection follows chapter rate |
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Effective date of registration: 20201201 Address after: Haimen Changle Town Changqing Road 226000 Jiangsu city of Nantong province No. 88 Patentee after: HAIMEN DADE INTELLECTUAL PROPERTY SERVICE Co.,Ltd. Address before: 808, floor 8, building B, business center, gangzhilong science and Technology Park, No. 6, Qinglong Road, Qinghua community, Longhua street, Longhua District, Shenzhen City, Guangdong Province Patentee before: Shenzhen Pengbo Information Technology Co.,Ltd. Effective date of registration: 20201201 Address after: 808, floor 8, building B, business center, gangzhilong science and Technology Park, No. 6, Qinglong Road, Qinghua community, Longhua street, Longhua District, Shenzhen City, Guangdong Province Patentee after: Shenzhen Pengbo Information Technology Co.,Ltd. Address before: 412007 Zhuzhou Research Institute, Hunan University of Technology, 88 West Taishan Road, Tianyuan District, Hunan Patentee before: HUNAN University OF TECHNOLOGY |
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