Multiple-target tracking for crossroad traffic utilizing modified probabilistic data association

Hsu Yung Cheng, Jenq Neng Hwang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

16 引文 斯高帕斯(Scopus)

摘要

A multiple-target tracking system aimed at analyzing crossroad traffic systematically is proposed in this paper. The proposed mechanism is based on Kalman filtering and modified probabilistic data association. Unlike traditional Kalman filtering tracking, the proposed mechanism constructs candidate measurement lists by matching the sizes of the measurements and the targets first. When the sizes do not match, object matching within a limited area is performed. Also, we modify the classical Probabilistic Data Association method to enhance its performance and make it more suitable for vision-based systems. The proposed mechanism, which can serve as the foundation for automatic traffic event detection, can solve the occlusion problems effectively without incurring too much computational complexity.

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主出版物標題2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
頁面I921-I924
DOIs
出版狀態已出版 - 2007
事件2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
持續時間: 15 4月 200720 4月 2007

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
1
ISSN(列印)1520-6149

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???event.eventtypes.event.conference???2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
國家/地區United States
城市Honolulu, HI
期間15/04/0720/04/07

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