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Proceedings Paper

Learning the fusion of multiple video analysis detectors
Author(s): X. Desurmont; F. Lavigne; J. Meessen; B. Macq
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Paper Abstract

This paper presents a new fusion scheme for enhancing the result quality based on the combination of multiple different detectors. We present a study showing the fusion of multiple video analysis detectors like "detecting unattended luggage" in video sequences. One of the problems is the time jitter between different detectors, i.e. typically one system can trigger an event several seconds before another one. Another issue is the computation of the adequate fusion of realigned events. We propose a fusion system that overcomes these problems by being able (i) In the learning stage to match off-line the ground truth events with the result of the detectors events using a dynamic programming scheme (ii) To learn the relation between ground truth and result (iii) To fusion in real-time the events from different detectors thanks to the learning stage in order to maximize the global quality of result. We show promising results by combining outputs of different video analysis detector technologies.

Paper Details

Date Published: 19 January 2009
PDF: 12 pages
Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 72520P (19 January 2009); doi: 10.1117/12.805666
Show Author Affiliations
X. Desurmont, Multitel (Belgium)
F. Lavigne, Faculte Polytechniques de Mons (Belgium)
J. Meessen, Multitel (Belgium)
B. Macq, Univ. Catholique de Louvain (Belgium)


Published in SPIE Proceedings Vol. 7252:
Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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