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

Authors:
Francesc Moreno-Noguer;Alberto Sanfeliu
Affiliations:
Institut de Robòtica i Informàtica Industrial, UPC-CSIC, Barcelona, Spain;Institut de Robòtica i Informàtica Industrial, UPC-CSIC, Barcelona, Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Year:
2005

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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.