Publication
Fusion of color and shape for object tracking under varying illumination
Conference Article
Conference
Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)
Edition
1st
Pages
580-588
Doc link
http://dx.doi.org/10.1007/b12122
File
Abstract
In this paper a new technique to perform tracking in cluttered scenarios with varying illumination conditions is presented. The robustness of the approach lies in the integration of appearance and structural information of the object. The fusion is done using the CONDENSATION algorithm that formulates multiple hypothesis about the estimation of the object's color distribution and validates them taking into account the contour information of the object.
Categories
computer vision.
Scientific reference
F. Moreno-Noguer, J. Andrade-Cetto and A. Sanfeliu. Fusion of color and shape for object tracking under varying illumination, 1st Iberian Conference on Pattern Recognition and Image Analysis, 2003, Port d'Andratx, in Pattern Recognition and Image Analysis, Vol 2652 of Lecture Notes in Computer Science, pp. 580-588, 2003, Springer, Berlin, Alemanya.
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