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

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

Download the digital copy of the doc pdf document

Authors

Projects associated

ARGOS: Navegación autónoma de robots guiados por objetivos visuales
NAVROB: Integration of robust perception, learning, and navigation systems in mobile robotics

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.

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.