A shape-perceived object tracking algorithm for intelligent surveillance systems

Yu Chieh Chung, Yeong Kang Lai

研究成果: 圖書/報告稿件的類型會議稿件同行評審

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we present an effective algorithm design for object tracking in intelligent surveillance applications. The proposed shape-perceived algorithm uses the building-block-based matching method. This method is fast due to its use of one-pass scanning and its low-cost of object classification. Two kinds of cameras are designed for different goals, a wide-angle camera and a PTZ camera, to construct the intelligent surveillance system and to achieve behavior analysis and body recognition. Furthermore, the experimental results show that this low-cost shape-perceived object tracking architecture is feasible for intelligent surveillance systems.

原文英語
主出版物標題2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面394-395
頁數2
ISBN(電子)9781479987443
DOIs
出版狀態已出版 - 20 08 2015
對外發佈
事件2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, 台灣
持續時間: 06 06 201508 06 2015

出版系列

名字2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Conference

Conference2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
國家/地區台灣
城市Taipei
期間06/06/1508/06/15

文獻附註

Publisher Copyright:
© 2015 IEEE.

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