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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 145 - 150 (6page)
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This paper presents an effective vision based method for LED traffic light detection at the daytime. First, the proposed method calculates horizontal coordinates to set region of interest (ROI) on input sequence images. Second, the proposed uses color segmentation method to extract region of green and red traffic light. Next, to classify traffic light and another noise, shape filter and haar-like feature value are used. Finally, temporal delay filter with weight is applied to remove blinking effect of LED traffic light, and state and weight of traffic light detection are used to classify types of traffic light. For simulations, the proposed method is implemented through Intel Core CPU with 2.80 GHz and 4 GB RAM, and tested on the urban and rural road video. Average detection rate of traffic light is 94.50 % and average recognition rate of traffic type is 90.24 %. Average computing time of the proposed method is 11 ms.
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참고문헌 (10)
참고문헌 신청
G. Piccioli / 1994 / Robust Road Sign Detection and Recognition fromm Image Sequences / Proceedings of Intelligent Vehicles Symposium : 278 ~ 283
J.H. Son / 2011 / Vision Based Daytime Traffic Light Detection Method for a Driving Assistance System / Proceesings of Conference on IEMEK : 234 ~ 235
M. D. S. Blancard / 1992 / Vision-based Vehicle Guidance / Springer-Verlag : 167 ~ 175
M. Shneier / 2005 / Road Sign Detection and Recognition / Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition
P. Viola / 2001 / Rapid object detection using boosted cascade of simple features / Proceesings of IEEE Conference on Computer Vision and Pattern Recognition
J.H. Son / 2011 / Vision Based Daytime Traffic Light Detection Method for a Driving Assistance System / Proceesings of Conference on IEMEK : 234 ~ 235
M. D. S. Blancard / 1992 / Vision-based Vehicle Guidance / Springer-Verlag : 167 ~ 175
M. Shneier / 2005 / Road Sign Detection and Recognition / Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition
P. Viola / 2001 / Rapid object detection using boosted cascade of simple features / Proceesings of IEEE Conference on Computer Vision and Pattern Recognition
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