CN102298845A - Far-beam light video detection method and system - Google Patents
Far-beam light video detection method and system Download PDFInfo
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- CN102298845A CN102298845A CN2011102502263A CN201110250226A CN102298845A CN 102298845 A CN102298845 A CN 102298845A CN 2011102502263 A CN2011102502263 A CN 2011102502263A CN 201110250226 A CN201110250226 A CN 201110250226A CN 102298845 A CN102298845 A CN 102298845A
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Abstract
The invention provides a far-beam light video detection method and a system. The method comprises the following steps of: a, reading in a video and extracting a headlight block mass; b, comparing the size of the extracted headlight block mass with a set threshold value, and performing Laplace processing on the extracted headlight block mass which is greater than the set threshold value to obtain a characteristic scale; c, comparing the obtained characteristic scale with a set threshold value, and computing a peripheral diffraction characteristic magnitude of the headlight block mass of which the characteristic scale is greater than the set threshold value; and d, judging a headlight with the diffraction characteristic being greater than the set threshold value to be as a far-beam light. In the far-beam light video detection method and system, the turn-on status of the headlight of an automobile can be recognized within 5-80 meters, rule breaking vehicles can be captured in real time, alarming is carried out in time, and an effective detection means is provided for traffic police enforcement. By adopting the method and the system, the occurrence of rule breaking actions is reduced, and the road driving safety is ensured.
Description
Technical field
The present invention relates to intelligent transportation field, relate in particular to a kind of high beam video detecting method and system.
Background technology
Along with the increase of vehicle and path link car kilometer, the raising of running velocity, the traffic hazard amount constantly increases, and has influenced the development and national economy and the people's normal life.One of principal element that causes the increase of traffic hazard amount is vehicle various violations artificial in the process of moving and non-artificial generation incidents violating the regulations.
Headlamp be automobile at night or under the lower situation of visibility, for the driver provides the visual plant of road lighting, and be that the driver sends caution, the light signalling device of getting in touch with, headlamp have the branch of dipped headlights, high beam and fog lamp.Because the high beam irradiation distance is far away, scope is big, and therefore in relatively darker highway section, the driver gets used to selecting switch-on distance light, generally uses morely on the expressway.
But, travel on the urban road, because it is all there is street lamp the both sides, urban road, relatively bright; And the many people of car are many in the urban district, if this moment, switch-on distance light was driven, when meeting, because the highlighted illumination of high beam can allow the other side vehicle driver not see the front road conditions, therefore, are easy to cause traffic hazard.And at present, drive at switch-on distance light, there is not the relevant detection device, the traffic police can only on-the-spotly capture, and for the place that does not have the traffic police, just can not give in time that the driver breaks rules and regulations, alarm.
Summary of the invention
The object of the present invention is to provide a kind of high beam video detecting method and system, can in the distance of 5-80 rice, identify the high beam opening of automobile, and report to the police.
The objective of the invention is to be achieved through the following technical solutions.
A kind of high beam video detecting method may further comprise the steps:
A: read in video, extract the headlight agglomerate;
B: the headlight agglomerate size of extracting is compared with setting threshold values,, carry out the Laplace conversion process, draw the characteristic dimension size for greater than the headlight agglomerate of setting threshold values;
C: the characteristic dimension that draws size compared with setting threshold values,, calculate the diffractive features size of headlight agglomerate periphery for greater than setting threshold values;
D: greater than setting threshold values, be judged to be high beam for diffractive features.
Preferably, also comprise after the steps d each two field picture in the video is judged,, then preserve the image of this moment if multiframe all is judged as high beam.
Preferably, step a specifically comprises: extract every two field picture, and image is carried out binary conversion treatment; Image is carried out initial filtering, eliminates noise processed; The headlight image is carried out projection process.
Preferably, among step b, c, the d,, be judged to be non-high beam for less than setting threshold values.
A kind of high beam video detection system comprises: video interface module, video processing module and high beam identification module;
Video interface module is used for reading and saving video or camera capture video;
Video processing module is used for the video image of input is carried out binary conversion treatment, and the headlight image is carried out projection, extracts the headlight agglomerate;
The headlight agglomerate size that the high beam identification module is used for extracting compares with the setting threshold values, for headlight agglomerate greater than the setting threshold values, carry out the Laplace conversion process, draw the characteristic dimension size, calculating is also judged the agglomerate size of diffraction effect on every side, greater than setting threshold values, directly be judged to be high beam for diffractive features.
Preferably, video processing module also is used for image is carried out initial filtering, eliminates noise processed.
Preferably, the high beam identification module also is used for judging for each two field picture of video, if multiframe all is judged as high beam, then preserves the image of this moment.
The embodiment of the invention compared with prior art, high beam video detecting method of the present invention and system can identify the high beam opening of automobile in the distance of 5-80 rice, can also in time report to the police by the real-time grasp shoot vehicles peccancy, provide an effective detection means to traffic police.Thereby reduce the generation of act of violating regulations, guaranteed driving path safety.
Description of drawings
Fig. 1 is a high beam video detecting method process flow diagram of the present invention;
Fig. 2 is a high beam video detection system theory diagram of the present invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
See also shown in Figure 1ly, high beam video detecting method of the present invention comprises:
Step 101: read in video, extract every two field picture, and image is carried out binary conversion treatment;
Step 102: image is carried out initial filtering, eliminates noise processed;
Step 103: the headlight image is carried out projection, and extract the headlight agglomerate;
Step 104: headlight agglomerate size and setting threshold values are compared; If headlight agglomerate size is greater than the agglomerate size threshold value of setting, as 10px, 11px etc. then enter step 105; Otherwise, enter step 110; By with set threshold values relatively, effective chaff interferences such as filtering motorcycle or street lamp;
Step 105: the headlight agglomerate is carried out the Laplace conversion, draw the characteristic dimension size;
Step 106: the characteristic dimension size that draws is compared with setting threshold values, if characteristic dimension then enters step 107 greater than setting threshold values; Otherwise, enter step 110;
Step 107: the diffractive features size of calculating headlight agglomerate periphery;
Step 108: the diffractive features size that draws is compared with setting threshold values, if diffractive features then enters step 109 greater than setting threshold values; Otherwise, enter step 110;
Step 109: directly be judged as high beam, show Far,
Step 110: be judged as non-high beam, show Normal.
Repeat above-mentioned steps, each two field picture in the video is judged, if multiframe all is judged as high beam, then preserve the image of this moment, as the foundation of traffic police's punishment and education.
See also shown in Figure 2ly, high beam video detection system of the present invention comprises: video interface module, video processing module and high beam identification module;
Video interface module is used for reading and saving video or camera capture video;
Video processing module is used for the video image of input is carried out binary conversion treatment, obtains a binary image that has only the automobile lamp signal; And the headlight image carried out projection, extract the headlight agglomerate;
Video processing module also is used for image is carried out initial filtering, eliminates noise processed;
The headlight agglomerate size that the high beam identification module is used for extracting compares with the setting threshold values, for greater than the headlight agglomerate of setting threshold values, carry out the Laplace conversion process, draw the characteristic dimension size, in conjunction with the optical diffraction effect, calculate the size of also judging diffraction effect around the agglomerate, greater than setting threshold values, directly be judged to be high beam for diffractive features, show FAR, for less than setting threshold values, be judged to be non-high beam, and show Normal.
The high beam identification module also is used for judging for each two field picture of video, if multiframe all is judged as high beam, then preserves the image of this moment, as the foundation of traffic police's punishment and education.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (7)
1. a high beam video detecting method is characterized in that, may further comprise the steps:
A: read in video, extract the headlight agglomerate;
B: the headlight agglomerate size of extracting is compared with setting threshold values,, carry out the Laplace conversion process, draw the characteristic dimension size for greater than the headlight agglomerate of setting threshold values;
C: the characteristic dimension that draws size compared with setting threshold values,, calculate the diffractive features size of headlight agglomerate periphery for greater than setting threshold values;
D: greater than setting threshold values, be judged to be high beam for diffractive features.
2. high beam video detecting method as claimed in claim 1 is characterized in that, also comprises after the steps d each two field picture in the video is judged, if multiframe all is judged as high beam, then preserves the image of this moment.
3. high beam video detecting method as claimed in claim 1 is characterized in that step a specifically comprises: extract every two field picture, and image is carried out binary conversion treatment; Image is carried out initial filtering, eliminates noise processed; The headlight image is carried out projection process.
4. high beam video detecting method as claimed in claim 1 is characterized in that, among step b, c, the d, for less than setting threshold values, is judged to be non-high beam.
5. a high beam video detection system is characterized in that, comprising: video interface module, video processing module and high beam identification module;
Video interface module is used for reading and saving video or camera capture video;
Video processing module is used for the video image of input is carried out binary conversion treatment, and the headlight image is carried out projection, extracts the headlight agglomerate;
The headlight agglomerate size that the high beam identification module is used for extracting compares with the setting threshold values, for headlight agglomerate greater than the setting threshold values, carry out the Laplace conversion process, draw the characteristic dimension size, calculating is also judged the agglomerate size of diffraction effect on every side, greater than setting threshold values, directly be judged to be high beam for diffractive features.
6. high beam video detection system as claimed in claim 5 is characterized in that, video processing module also is used for image is carried out initial filtering, eliminates noise processed.
7. high beam video detection system as claimed in claim 5 is characterized in that, the high beam identification module also is used for judging for each two field picture of video, if multiframe all is judged as high beam, then preserves the image of this moment.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102963294A (en) * | 2012-11-02 | 2013-03-13 | 西安理工大学 | Method for judging opening and closing states of high beam of vehicle driving at night |
| CN103295399A (en) * | 2013-05-14 | 2013-09-11 | 西安理工大学 | On-state judging method of headlights on full beam of night-driving cars based on morphological characteristics |
| CN104574956A (en) * | 2014-12-05 | 2015-04-29 | 大连民族学院 | Monitoring device for abuse of high beam during meeting of vehicles at night |
| CN105184227A (en) * | 2015-08-13 | 2015-12-23 | 安徽超远信息技术有限公司 | Traffic signal control system with automobile high beam light detection function |
| CN106482931A (en) * | 2015-08-25 | 2017-03-08 | 鸿富锦精密工业（深圳）有限公司 | road light source monitoring device, monitoring method and monitoring system |
| CN107169422A (en) * | 2017-04-21 | 2017-09-15 | 浙江安谐智能科技有限公司 | The method of discrimination of high beam open and-shut mode based on headlamp radiation direction |
| CN107230354A (en) * | 2017-07-03 | 2017-10-03 | 南京理工大学 | A kind of vehicle at night distance light capturing system |
| CN108229447A (en) * | 2018-02-11 | 2018-06-29 | 陕西联森电子科技有限公司 | A kind of high beam detection method based on video flowing |
| CN108417043A (en) * | 2018-02-09 | 2018-08-17 | 浙江安谐智能科技有限公司 | A kind of detection method that high beam persistently opens |
| CN108986476A (en) * | 2018-08-07 | 2018-12-11 | 安徽金赛弗信息技术有限公司 | Motor vehicle does not use according to regulations high beam recognition methods, system and storage medium |
| CN110246337A (en) * | 2018-08-10 | 2019-09-17 | 浙江大华技术股份有限公司 | A kind of method, apparatus and computer storage medium detecting Misuse car light |
| CN110942044A (en) * | 2019-11-28 | 2020-03-31 | 安徽江淮汽车集团股份有限公司 | High beam violation detection method and device, electronic device and storage medium |
| CN111382707A (en) * | 2020-03-11 | 2020-07-07 | 青岛讯极科技有限公司 | Method for simultaneously processing multiple high beam vehicles in same video |
| CN112071079A (en) * | 2020-09-07 | 2020-12-11 | 浙江师范大学 | Machine vision vehicle high beam detection early warning system based on 5G transmission |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056928A (en) * | 2015-12-23 | 2016-10-26 | 许丽玲 | Motor vehicle speed and lamplight detection method |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008143421A (en) * | 2006-12-12 | 2008-06-26 | Denso Corp | Headlight control device |
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- 2011-08-29 CN CN201110250226.3A patent/CN102298845B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008143421A (en) * | 2006-12-12 | 2008-06-26 | Denso Corp | Headlight control device |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102963294B (en) * | 2012-11-02 | 2014-12-10 | 西安理工大学 | Method for judging opening and closing states of high beam of vehicle driving at night |
| CN102963294A (en) * | 2012-11-02 | 2013-03-13 | 西安理工大学 | Method for judging opening and closing states of high beam of vehicle driving at night |
| CN103295399A (en) * | 2013-05-14 | 2013-09-11 | 西安理工大学 | On-state judging method of headlights on full beam of night-driving cars based on morphological characteristics |
| CN103295399B (en) * | 2013-05-14 | 2015-01-21 | 西安理工大学 | On-state judging method of headlights on full beam of night-driving cars based on morphological characteristics |
| CN104574956A (en) * | 2014-12-05 | 2015-04-29 | 大连民族学院 | Monitoring device for abuse of high beam during meeting of vehicles at night |
| CN105184227A (en) * | 2015-08-13 | 2015-12-23 | 安徽超远信息技术有限公司 | Traffic signal control system with automobile high beam light detection function |
| CN106482931A (en) * | 2015-08-25 | 2017-03-08 | 鸿富锦精密工业（深圳）有限公司 | road light source monitoring device, monitoring method and monitoring system |
| CN107169422B (en) * | 2017-04-21 | 2020-11-13 | 浙江安谐智能科技有限公司 | Method for judging opening and closing states of high beam based on light direction of headlamp |
| CN107169422A (en) * | 2017-04-21 | 2017-09-15 | 浙江安谐智能科技有限公司 | The method of discrimination of high beam open and-shut mode based on headlamp radiation direction |
| CN107230354A (en) * | 2017-07-03 | 2017-10-03 | 南京理工大学 | A kind of vehicle at night distance light capturing system |
| CN108417043A (en) * | 2018-02-09 | 2018-08-17 | 浙江安谐智能科技有限公司 | A kind of detection method that high beam persistently opens |
| CN108417043B (en) * | 2018-02-09 | 2020-07-14 | 浙江安谐智能科技有限公司 | Detection method for continuous starting of high beam |
| CN108229447A (en) * | 2018-02-11 | 2018-06-29 | 陕西联森电子科技有限公司 | A kind of high beam detection method based on video flowing |
| CN108229447B (en) * | 2018-02-11 | 2021-06-11 | 陕西联森电子科技有限公司 | High beam light detection method based on video stream |
| CN108986476A (en) * | 2018-08-07 | 2018-12-11 | 安徽金赛弗信息技术有限公司 | Motor vehicle does not use according to regulations high beam recognition methods, system and storage medium |
| CN110246337A (en) * | 2018-08-10 | 2019-09-17 | 浙江大华技术股份有限公司 | A kind of method, apparatus and computer storage medium detecting Misuse car light |
| CN110942044A (en) * | 2019-11-28 | 2020-03-31 | 安徽江淮汽车集团股份有限公司 | High beam violation detection method and device, electronic device and storage medium |
| CN111382707A (en) * | 2020-03-11 | 2020-07-07 | 青岛讯极科技有限公司 | Method for simultaneously processing multiple high beam vehicles in same video |
| CN112071079A (en) * | 2020-09-07 | 2020-12-11 | 浙江师范大学 | Machine vision vehicle high beam detection early warning system based on 5G transmission |
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| CN102298845B (en) | 2014-04-16 |
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