Human tracking system for automatic video surveillance with particle filters

Axel Beaugendre; Hiroyoshi Miyano; Eiki Ishidera; Satoshi Goto

doi:10.1109/APCCAS.2010.5774996

Human tracking system for automatic video surveillance with particle filters

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

^*Corresponding author for this work

Waseda University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 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 language	English
Title of host publication	IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
Pages	152-155
Number of pages	4
DOIs	https://doi.org/10.1109/APCCAS.2010.5774996
Publication status	Published - 2010
Event	2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 - Kuala Lumpur Duration: 2010 Dec 6 → 2010 Dec 9

Other

Other	2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
City	Kuala Lumpur
Period	10/12/6 → 10/12/9

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/APCCAS.2010.5774996

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title = "Human tracking system for automatic video surveillance with particle filters",

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.",

author = "Axel Beaugendre and Hiroyoshi Miyano and Eiki Ishidera and Satoshi Goto",

year = "2010",

doi = "10.1109/APCCAS.2010.5774996",

language = "English",

isbn = "9781424474561",

pages = "152--155",

booktitle = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",

note = "2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 ; Conference date: 06-12-2010 Through 09-12-2010",

}

TY - GEN

T1 - Human tracking system for automatic video surveillance with particle filters

AU - Beaugendre, Axel

AU - Miyano, Hiroyoshi

AU - Ishidera, Eiki

AU - Goto, Satoshi

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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U2 - 10.1109/APCCAS.2010.5774996

DO - 10.1109/APCCAS.2010.5774996

M3 - Conference contribution

AN - SCOPUS:79959249043

SN - 9781424474561

SP - 152

EP - 155

BT - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

T2 - 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010

Y2 - 6 December 2010 through 9 December 2010

ER -

Human tracking system for automatic video surveillance with particle filters

Abstract

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