Abstract
During the last two decades, significant research efforts had been made in developing vision-based automatic traffic monitoring systems in order to improve driving efficiency and reduce traffic accidents. This paper presents a practical vehicle waiting time estimation method using adaptive video-based vehicle tracking method. Specifically, it is designed to deal with lower image quality, inappropriate camera positions, vague lane/road markings and complex driving scenarios. The spatio-temporal analysis is integrated with shape hints to improve performance. Experiment results show the effectiveness of the proposed approach. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Li, L., & Wang, F. Y. (2006). Approximate vehicle waiting time estimation using adaptive video-based vehicle tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4153 LNCS, pp. 105–114). Springer Verlag. https://doi.org/10.1007/11821045_11
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