Human tracking system for automatic video surveillance with particle filters

Axel Beaugendre, Hiroyoshi Miyano, Eiki Ishidera, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
Pages152-155
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 - Kuala Lumpur
Duration: 2010 Dec 62010 Dec 9

Other

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Beaugendre, A., Miyano, H., Ishidera, E., & Goto, S. (2010). Human tracking system for automatic video surveillance with particle filters. In IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS (pp. 152-155). [5774996] https://doi.org/10.1109/APCCAS.2010.5774996