Journal Search Engine
The Journal of The Korea Institute of Intelligent Transport Systems Vol.4 No.2 pp.1-11
비디오 영상에서 규칙기반 차량추적에 관한 연구
A Study on Rule-Based Vehicle Tracking in Video Images
Abstract
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.
