A Study on Rule-Based Vehicle Tracking in Video Images
Eun-Jong Park, Lee Joon-Whan · The Journal of The Korea Institute of Intelligent Transport Systems · 2005
Automatic tracking of vehicles is important to accurately estimate the vehicle speeds in video-based traffic measurement systems and to analyze traffic flows for road construction. This paper proposes a carefully designed rule-based tracking scheme that considers the possible cases that can be appeared in the video-based vehicle racking. The proposed scheme is fast and outperforms the Mean-Shift scheme in terms of accuracy. The accuracy and the speed of the scheme would be increased by combining it with color-based searching and Kalman filters.