標題: Multi-objects tracking system using adaptive background reconstruction technique and its application to traffic parameters extraction
作者: Chin-Teng Lin
Yu-Chen Huang
Ting-Wei Mei
Her-Chang Pu
Chao-Ting Hong
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2006
摘要: In this paper, we present a real-time multi-objects tracking system which can detect various types of moving objects in image sequences of traffic video obtained from a stationary video camera. Using the adaptive background reconstruction technique can effectively handle with environmental changes and obtain good results of objects extraction. Besides, we introduce a robust region- and feature-based tracking algorithm with plentiful features to track correct objects continuously. After tracking objects successfully, we can analyze the tracked objects' properties and recognize their behavior for extracting some useful traffic parameters. According to the structure of our proposed algorithms, we implemented a tracking system including the functions of objects classification and accident prediction. Experiments were conducted on real-life traffic video of some intersection and testing datasets of other surveillance research. The results proved the algorithms we proposed achieved robust segmentation of moving objects and successful tracking with objects occlusion or splitting events. The implemented system also extracted useful traffic parameters.
URI: http://hdl.handle.net/11536/17225
http://dx.doi.org/10.1109/ICSMC.2006.385163
ISBN: 978-1-4244-0099-7
ISSN: 1062-922X
DOI: 10.1109/ICSMC.2006.385163
期刊: 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS
起始頁: 2057
結束頁: 2062
Appears in Collections:Conferences Paper


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