Publication
A framework to integrate particle filters for robust tracking in non-stationary environments
Conference Article
Conference
Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)
Edition
2nd
Pages
93-101
Doc link
http://dx.doi.org/10.1007/11492429_12
File
Abstract
In this paper we propose a new framework to integrate several particle filters, in order to obtain a robust tracking system able to cope with abrupt changes of illumination and position of the target. The proposed method is analytically justified and allows to build a tracking procedure that adapts online and simultaneously the colorspace where the image points are represented, the color distributions of the object and background and the contour of the object.
Categories
computer vision, object detection.
Author keywords
tracking, deformable contours, color adaption, particle filters
Scientific reference
F. Moreno-Noguer and A. Sanfeliu. A framework to integrate particle filters for robust tracking in non-stationary environments, 2nd Iberian Conference on Pattern Recognition and Image Analysis, 2005, Estoril, in Pattern Recognition and Image Analysis, Vol 3523 of Lecture Notes in Computer Science, pp. 93-101, 2005, Springer, Berlin, Alemanya.
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