DocumentCode
3039262
Title
Joint audio-video people tracking using belief theory
Author
Megherbi, Najla ; Ambellouis, Sebatsien ; Colot, Olivier ; Cabestaing, Francois
Author_Institution
Laboratoire Electron., INRETS, Villeneuve d´´Ascq, France
fYear
2005
fDate
15-16 Sept. 2005
Firstpage
135
Lastpage
140
Abstract
This paper is concerned with the use of belief theory to resolve the data association problem in the context of tracking and identifying people using audio and video data. In order to associate measurements with targets, the proposed method exploits different features such as color, position and acoustic parameters. This has the advantage of providing a robust solution to data association in challenging tracking scenarios.
Keywords
audio-visual systems; belief networks; feature extraction; image recognition; speech processing; tracking; video signal processing; belief theory; data association problem; features extraction; joint audio-video people tracking; multiple people identification; Acoustic measurements; Cameras; Data mining; Information resources; Microphone arrays; Monitoring; Position measurement; Robustness; Surveillance; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Video and Signal Based Surveillance, 2005. AVSS 2005. IEEE Conference on
Print_ISBN
0-7803-9385-6
Type
conf
DOI
10.1109/AVSS.2005.1577256
Filename
1577256
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