Paper Info
Title
Joint audio-video people tracking using belief theory
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.
Year
DOI
Venue
2005
10.1109/AVSS.2005.1577256
AVSS 2005: ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS
Keywords
Field
DocType
speech processing,tracking,image recognition,feature extraction
Computer vision,Speech processing,Belief theory,Computer science,Feature extraction,Exploit,Speech recognition,Video tracking,Data association,Artificial intelligence
Conference
Citations 
PageRank 
References 
4
0.55
7
Authors
4
Name
Order
Citations
PageRank
Najla Megherbi1413.73
Sebastien Ambellouis2649.91
Olivier Colot312915.55
François Cabestaing46010.67