%0 Conference Paper
%B Image Processing, 2006 IEEE International Conference on
%D 2006
%T Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects
%A Jie Shao
%A Chellapa, Rama
%A Porikli, F.
%K (numerical
%K 2D
%K algorithm;affine
%K based
%K contour
%K detection;dynamic
%K detection;motion
%K detection;parameter
%K estimation;active
%K estimation;object
%K estimation;particle
%K Filtering
%K filtering;probabilistic
%K filters;
%K map;shape-regulation;affine
%K methods);tracking
%K model;nonrigid
%K MOTION
%K object
%K scenes;deformation
%K tracking;parameter
%K transform;cluttered
%K transforms;clutter;edge
%X This paper presents an active contour based algorithm for tracking non-rigid objects in heavily cluttered scenes. We decompose the non-rigid contour tracking problem into three subproblems: 2D motion estimation, deformation detection, and shape regulation. First, we employ a particle filter to estimate the affine transform parameters between successive frames. Second, by using a dynamic object model, we generate a probabilistic map of deformation to reshape its contour. Finally, we project the updated model onto a trained shape subspace to constrain deformations to be within possible object appearances. Our experiments show that the proposed algorithm significantly improves the performance of the tracker
%B Image Processing, 2006 IEEE International Conference on
%P 2813 - 2816
%8 2006/10//
%G eng
%R 10.1109/ICIP.2006.312993