Joint audio-video people tracking using belief theory

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 aco...

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Bibliographic Details
Published inIEEE Conference on Advanced Video and Signal Based Surveillance, 2005 pp. 135 - 140
Main Authors Megherbi, N., Ambellouis, S., Colot, O., Cabestaing, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Acoustic measurements
Cameras
Data mining
Information resources
Microphone arrays
Monitoring
Position measurement
Robustness
Surveillance
Target tracking
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Summary: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.
ISBN:9780780393851
0780393856
DOI:10.1109/AVSS.2005.1577256