Tracking of multiple objects across multiple cameras with overlapping and non-overlapping views

Liang Jia Zhu, Jenq Neng Hwang, Hsu Yung Cheng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

15 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a fully automated approach for tracking of multiple objects across multiple cameras with overlapping and non-overlapping views in a unified framework without initial training. For single camera cases, Kalman filter and adaptive particle sampling are integrated for multiple objects tracking. When extended to multiple cameras cases, the relations between adjacent cameras are learned systematically by using image registration techniques for consistent handoff of tracking-object labels across cameras. In addition, object appearance measurement is employed to validate the labeling results. Experimental results demonstrate the performance of our approach on real video sequences for cameras with overlapping and non-overlapping views.

原文???core.languages.en_GB???
主出版物標題2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
頁面1056-1060
頁數5
DOIs
出版狀態已出版 - 2009
事件2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan
持續時間: 24 5月 200927 5月 2009

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
ISSN(列印)0271-4310

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???event.eventtypes.event.conference???2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
國家/地區Taiwan
城市Taipei
期間24/05/0927/05/09

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