標題: A real-time multiple-vehicle detection and tracking system with prior occlusion detection and resolution
作者: Wu, BF
Lin, SP
Chen, YH
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: detection;segmentation;tracking;occlusion;rule-based reasoning;traffic parameter
公開日期: 2005
摘要: The proposed multiple-vehicle detection and tracking (MVDT) system utilizes a color background to segment moving objects and exploits relations among the moving objects and existed trajectories to track vehicles. Initially, the background is extracted by classification. Then, it is regularly updated by previous moving objects to guarantee robust segmentation in luminance-change circumstance. For partial wrong converged background due to roadside parking vehicles. it will be corrected later by checking fed back trajectories to avoid false detection after the vehicles moving away. In tracking processing, the relations of distances or distances and angles are applied to determine whether to create, extend, and delete a trajectory. If occlusion detected after trajectory creation, it will be resolved by rule-based tracking reasoning. Otherwise, lane information will be used. Finally, traffic parameter calculations based on the trajectories art, listed. Moreover, for easy setup, parameter automation for the system is proposed.
URI: http://hdl.handle.net/11536/18015
ISBN: 0-7803-9313-9
期刊: 2005 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Vols 1 and 2
起始頁: 311
結束頁: 316
Appears in Collections:Conferences Paper