%0 Conference Proceedings
%F Arnaud04b
%A Arnaud, E.
%A Mémin, E.
%A Cernushi Frias, B.
%T A robust stochastic filter for point tracking in image sequences
%B Asian Conference on Computer Vision (ACCV'04)
%C Jeju Island, Korea
%X The approach we investigate for point tracking combines within a stochastic filtering framework a dynamic model relying on the optical flow constraint and measurements provided by a matching technique. Focusing on points belonging to regions described by a global dominant motion, the proposed tracking system is linear. Since we focus on the case where the system depends on the images, the tracker is built from a Conditional Linear Filter, derived through the use of a conditional linear minimum variance estimator. This conditional tracker authorizes to significantly improve results in some general situation. In particular, such an approach allows us to deal in a simple way with the tracking of points following trajectories with abrupt changes and occlusions
%U http://www.irisa.fr/vista/Papers/2004_accv_arnaud.pdf
%8 January
%D 2004