Browse > Article

Vehicle Detection based on the Haar-like feature and Image Segmentation  

Choi, Mi-Soon (안동대학교 컴퓨터공학과)
Lee, Jeong-Hwan (안동대학교 전자공학과)
Suk, Jung-Hee (한국전자통신연구원)
Roh, Tae-Moon (한국전자통신연구원)
Shim, Jae-Chang (안동대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.13, no.9, 2010 , pp. 1314-1321 More about this Journal
Abstract
In this paper, we study about the vehicle detection algorithm which is in the process of travelling from the road. An input image is segmented by means of split and merge algorithm. And two largest segmented regions are removed for reducing search region and speed up processing time. In order to detect the back side of the front vehicle considers a vertical/horizontal component, uses an integral image with to apply Haar-like methods which are the possibility of shortening a calculation time, classified with SVM. The simulation result of the method which is proposed appeared highly.
Keywords
Vehicle detection; split & merge; Haar-like feature; SVM;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 G. Wang and E. X iao, "Review on Vehicle Detection Based on Video for Traffic Surveillance," IEEE Intelligent Conference on Automation and Logistics, 2008.
2 P. Viola and M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features," IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol.1, pp.511-518, 2001.
3 Xin Li, XiaoCao Yao, Yi L. Murphey, R. Karlsen, and G. Gerhart "A real-time vehicle detection and tracking system in outdoor traffic scenes," Proc. of the 17th International conference on Pattern recognition(ICPR'04), 2004.
4 P. Viola and M. Jones, "Robust real-time object detection," In Second International Workshop On statistical and computational Theories of Vision Vancouver, Canada, July 13, 2001.
5 C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data miming and knowledge discovery, Vol.2 No. 2, pp.121-167, 1998.   DOI   ScienceOn
6 V. Vapnik, "Statistical Learning Theory," John Wiley & Sons, New York, 1998.
7 성준용, 한민홍, 노광현. "안전주행을 위한 비젼 기반의 차선변경보조시스템개발", 한국컴퓨터정보학회 논문지, 제11권 5호, pp. 329-336, 2006.   과학기술학회마을
8 D. Gavrila and V. Phlomin, "Real-time object detection for "smart" vehicles," In CVPR, pp. 87-93, USA, 1999.
9 이정환, 최미순, 서주원, 이영학, 노태문, 심재창. "영상분할 및 부스팅분류 기반 자동차 검출," 한국멀티미디어학회 추계 학술발표대회 논문집, 제12권 2호 pp.164, 2009.
10 Z. Sun, G. Bebis, and R. Miller, "On-Road Vehicle Detection A Review," IEEE Transactions on Pattern analysis and machine intelligence, Vol.28, pp.694-711, 2006.   DOI
11 J. M. Collado, C. Hilario, A. de la Escalera, and J. M armingol "Model Based Vehicle Detection for Intelligent Vehicles," IEEE Intelligent Vehicles Symposium. pp. 572-577, June, 2004.