Human tracking system for automatic video surveillance with particle filters

Axel Beaugendre*, Hiroyoshi Miyano, Eiki Ishidera, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

The algorithm presented is a very efficient and robust object tracking algorithm based on particle filter. The aim is to deal with noisy and bad resolution video surveillance cameras. The main feature used in this method is multi-candidate object detection results based on a background subtraction algorithm [9] combined with color and interaction features [8]. This algorithm only needs a small number of particles to be accurate. Experimental results demonstrate the efficiency of the algorithm for single and multiple object tracking.

本文言語English
ホスト出版物のタイトルIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
ページ152-155
ページ数4
DOI
出版ステータスPublished - 2010
イベント2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 - Kuala Lumpur
継続期間: 2010 12月 62010 12月 9

Other

Other2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
CityKuala Lumpur
Period10/12/610/12/9

ASJC Scopus subject areas

  • 電子工学および電気工学

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