Vehicle Detection Method using Haar-like Feature on Real Time System
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This paper presents a robust vehicle detection approach using Haar-like feature. It is possible to get a strong edge feature from this Haar-like feature. Therefore it is very effective to remove the shadow of a vehicle on the road. And we can detect the boundary of vehicles accurately. In the paper, the vehicle detection algorithm can be divided into two main steps. One is hypothesis generation, and the other is hypothesis verification. In the first step, it determines vehicle candidates using features such as a shadow, intensity, and vertical edge. And in the second step, it determines whether the candidate is a vehicle or not by using the symmetry of vehicle edge features. In this research, we can get the detection rate over 15 frames per second on our embedded system.
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References
- F. Moutarde, B. Stanciulescu, A. Breheret, "Real time visual detection of vehicles and pedestrians with new efficient adaboost features," IEEE International Conference on Intelligent Robots Systems (IROS 2008), September 2008.
- H. Fleyeh, "Color detection and Segmentation for road and Traffice signs", Proceedings of the 2004 IEEE Cybernetics and Intelligent Systems, vol. 2, pp. 809-814, December 2004
- R. Labayrade, D. Aubert, JP. Tarel, "Real Time Obstacle detection in stereovision on Non flat road geometry through ÔÇÿV-disparity- Representation", Proceedings of IEEE Intelligent Vehicle Symposium, vol. 2, pp. 646-651, 2002
- R. Miller, Z. Sun, G. Bebis, "On Road vehicle Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 694-711, May 2004
- J. Rojas, J. Crisman, "Vehicle Detection in Color Images", in Proc. IEEE Conference Intelligent Transportation, pp. 403-408, November 1998
- G. D. Sullivan, K. D. Baker, A. D. Worrall, "Model based vehicle detection and classification using orthographic approximations", British Machine Vision Conference, vol. 15,Issue 8, pp. 649-654, August 1997
- P. Viola, M. jones, "Rapid Object Detection using a Boosted Cascade of Simple Features"In Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 511-518, 2001