Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
B. Gloyer , Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
H.K. Aghajan , Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
An image processing and object tracking approach is proposed for the design of a video-based freeway traffic monitoring system. Proper estimation of the traffic speed in different lanes of a freeway allows for timely detection of possible congestions. The proposed method consists of a road modeling stage and a vehicle tracking stage. In the first stage, a three-dimensional model of the background road image is generated. In the tracking stage, each car in the scene is isolated and tracked over many frames. Experimental results on frame sequences taken from Santa Ana area freeways are presented.<
road traffic, traffic control, automobiles, tracking, video signal processing, image sequences, video cameras
B. Gloyer, H. Aghajan, Kai-Yeung Siu and T. Kailath, "Vehicle detection and tracking for freeway traffic monitoring," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 970-974.