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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30414
Title: A framework to integrate particle filters for robust tracking in non-stationary environments
Authors: Moreno-Noguer, Francesc; Sanfeliu, Alberto
Keywords: Tracking
Deformable contours
Color adaption
Particle filters
Pattern recognition: Computer vision
Pattern recognition: Object detection
Computer vision
Pattern recognition systems
Issue Date: 2005
Publisher: Springer
Citation: 2nd Iberian Conference on Pattern Recognition and Image Analysis: pp. 93-101 (2005)
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.
Description: Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2005, Estoril (Portugal)
URI: http://hdl.handle.net/10261/30414
DOI: http://dx.doi.org/10.1007/11492429_12
ISBN: 9783540261544
Appears in Collections:(IRII) Comunicaciones congresos
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