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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Moreno-Noguer, F., Sanfeliu, A. (2005). A Framework to Integrate Particle Filters for Robust Tracking in Non-stationary Environments. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_12
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DOI: https://doi.org/10.1007/11492429_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
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