People localization in a camera network combining background subtraction and scene-aware human detection

Tung Ying Lee*, Tsung Yu Lin, Szu-Hao Huang, Shang Hong Lai, Shang Chih Hung

*Corresponding author for this work

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

In a network of cameras, people localization is an important issue. Traditional methods utilize camera calibration and combine results of background subtraction in different views to locate people in the three dimensional space. Previous methods usually solve the localization problem iteratively based on background subtraction results, and high-level image information is neglected. In order to fully exploit the image information, we suggest incorporating human detection into multi-camera video surveillance. We develop a novel method combining human detection and background subtraction for multi-camera human localization by using convex optimization. This convex optimization problem is independent of the image size. In fact, the problem size only depends on the number of interested locations in ground plane. Experimental results show this combination performs better than background subtraction-based methods and demonstrate the advantage of combining these two types of complementary information.

原文English
主出版物標題Advances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Proceedings
頁面151-160
頁數10
版本PART 1
DOIs
出版狀態Published - 26 一月 2011
事件17th Multimedia Modeling Conference, MMM 2011 - Taipei, Taiwan
持續時間: 5 一月 20117 一月 2011

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
6523 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference17th Multimedia Modeling Conference, MMM 2011
國家Taiwan
城市Taipei
期間5/01/117/01/11

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