An efficient probabilistic occupancy map-based people localization approach

Yen Shuo Lin, Hua Tsung Chen, Jen-Hui Chuang

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

The widespread use of vision-based video surveillance systems has inspired many research efforts on people localization. One of the current main trends in this field is based on probabilistic occupancy map (POM) obtained from multiple camera views. Although the POM-based approaches are robust against noisy foregrounds and can achieve great localization accuracy, they require high computation complexity. In this paper, two enhancement schemes are proposed to improve the efficiency of the POM-based people localization: (i) quick screening of potential people locations, and (ii) timely termination of iterations for occupancy probability estimation. Experimental results show that the proposed approach achieves up to 7.25 times speed-up compared to the standard POM-based approach, while delivering comparable people localization accuracy.

原文English
主出版物標題2015 Visual Communications and Image Processing, VCIP 2015
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781467373142
DOIs
出版狀態Published - 1 一月 2015
事件Visual Communications and Image Processing, VCIP 2015 - Singapore, Singapore
持續時間: 13 十二月 201516 十二月 2015

出版系列

名字2015 Visual Communications and Image Processing, VCIP 2015

Conference

ConferenceVisual Communications and Image Processing, VCIP 2015
國家Singapore
城市Singapore
期間13/12/1516/12/15

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