On-Road Vehicle Detection and Verification by Using a Mobile Camera
Keywords:
Vehicle detection, AdaBoost, Vehicle verification, Symmetry measurement.Abstract
Recently, extensive research on driver assistance systems has focused on applications such as lane departure warnings, traffic sign recognition, and pedestrian and vehicle detection systems. This paper presents a real-time vehicle detection and tracking system for detecting on-road vehicles in front of a vehicle with mobile camera. The system consists of two main steps: generating candidates with respect to a vehicle by using the AdaBoost learning algorithm, and verifying the candidates according to symmetry measurement and horizontal and vertical edge analysis. The proposed system was experimentally proven to be effective in various traffic scenarios.
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References
• Hilario, C., Collado, J. M., Armingol, J. M., and de la Escalera, A., Visual Perception and Tracking of Vehicles for Driver Assistance Systems. Proceedings of Intelligent Vehicles Symposium, pp. 94-99, 2006.
• Broggi, A., Cerri, P., and Antonello, P. C., Multi-resolution Vehicle Detection Using Artificial Vision, Proceedings of Intelligent Vehicles Symposium, pp. 310-314, 2004.
• Song, G., Lee, K., and Lee, J., Vehicle Detection by Edge based Candidate Generation and Appearance-based Classification. Proceedings of Intelligent Vehicles Symposium, pp. 428-433, 2008.
• Kowsari, T., Beauchemin, S.S., and Cho, J., Real-time Vehicle Detection and Tracking using Stereo Vision and Multi-view Adaboost. Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, pp. 1255-1260, 2011.
• Lim, K., Ang, L., Seng, K., and Chin, S., Lane-vehicle Detection and Tracking. Proceedings of the International Multi-conference of Engineers and Computer Scientists, Vol. 2., 2009.
• Kate, T., Leewen, M., Moro-Ellenberger, S. E. , Driessen, B., Versluis, A., and Groen, F., Mid-range and Distant Vehicle Detection with a Mobile Camera, Proceedings of Intelligent Vehicles Symposium, pp. 72-77, 2004.
• Tsai, L.-W., Hsieh, J.-W., and Fan, K.-C. 2007. Vehicle Detection using Normalized Color and Edge Map, IEEE Transactions on Image Processing, 16 (3), 850-864.
• Chan, Y.-M., Huang, S.-S., Fu, L.-C., and Hsiao, P.-Y., Vehicle Detection under Various Lighting Conditions by Incorporating Particle Filter. Proceedings of IEEE Intelligent Transportation Systems Conference, pp. 534-539, 2007.
• Freund, Y. and Schapire, R. 1995. A Desicion-theoretic Generalization of On-line Learning and an Application to Boosting, Computational Learning Theory, pp. 23-37, 1995.
• Viola, P. and Jones, M. 2004. Robust Real-time Face Detection, International Journal of Computer Vision, 57 (2), 137-154.
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