Omni-directional camera networks and data fusion for vehicle tracking in an indoor parking lot

Jung Ming Wang*, Ching Ting Tsai, Shen Cherng, Sei Wang Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

A fixed single camera is not sufficient for monitoring a wide area. More cameras can be used, but a problem with integrating all of them will arise. In this paper, a monitoring system to detect and track moving objects in an indoor environment using multiple omni-directional cameras is proposed. Objects captured from different cameras can be integrated automatically, and we can add more cameras to enlarge the monitoring range without changing the system architecture. Such a system is currently being applied to a model of a parking lot for detecting the paths of vehicles.

原文英語
主出版物標題Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
發行者IEEE Computer Society
頁面45
頁數1
ISBN(列印)0769526888, 9780769526881
DOIs
出版狀態已發佈 - 2006
事件IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 - Sydney, NSW, 澳大利亚
持續時間: 2006 十一月 222006 十一月 24

出版系列

名字Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006

其他

其他IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
國家/地區澳大利亚
城市Sydney, NSW
期間2006/11/222006/11/24

ASJC Scopus subject areas

  • 電腦視覺和模式識別
  • 訊號處理
  • 電氣與電子工程

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