DocumentCode :
2451050
Title :
Robust data fusion in a visual sensor multi-agent architecture
Author :
Castanedo, F. ; Patricio, M.A. ; García, J. ; Molina, J.M.
Author_Institution :
Univ. Carlos III of Madrid, Madrid
fYear :
2007
fDate :
9-12 July 2007
Firstpage :
1
Lastpage :
7
Abstract :
A surveillance system that fuses data from several data sources is more robust than those which depends on a single source of input. Fusing the information acquired by a vision system is a difficult task since the system needs to use reliable models for errors and take into account bad performance when taking measurements. In this research, we use a bidimensional object correspondence and tracking method based on the ground plane projection of the blob centroid. We propose a robust method that employs a two phase algorithm which uses a heuristic value and context information to automatically combine each source of information. The fusion process is carried out by a fusion agent in a multi-agent surveillance system. The experimental results on real video sequences have showed the effectiveness and robustness of the system.
Keywords :
image sequences; multi-agent systems; sensor fusion; video surveillance; bidimensional object correspondence; data fusion; multiagent surveillance system; plane projection; tracking method; video sequences; visual sensor multiagent architecture; Bayesian methods; Cameras; Computer architecture; Fuses; Intelligent sensors; Robustness; Sensor fusion; Surveillance; Target tracking; Uncertainty; Distributed Surveillance Systems; Multi Camera Image Fusion; Multi-Agent Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
Type :
conf
DOI :
10.1109/ICIF.2007.4408121
Filename :
4408121
Link To Document :
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