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Title

A framework to integrate particle filters for robust tracking in non-stationary environments

AuthorsMoreno-Noguer, Francesc ; Sanfeliu, Alberto
KeywordsTracking
Deformable contours
Color adaption
Particle filters
Pattern recognition: Computer vision
Pattern recognition: Object detection
Computer vision
Pattern recognition systems
Issue Date2005
PublisherSpringer
Citation2nd Iberian Conference on Pattern Recognition and Image Analysis: pp. 93-101 (2005)
AbstractIn 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.
DescriptionIberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2005, Estoril (Portugal)
URIhttp://hdl.handle.net/10261/30414
DOIhttp://dx.doi.org/10.1007/11492429_12
ISBN9783540261544
Appears in Collections:(IRII) Comunicaciones congresos
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