%0 Journal Article
%T Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter
%A Sze Kim Pang
%A James D. B. Nelson
%A Simon J. Godsill
%A Nick Kingsbury
%J EURASIP Journal on Advances in Signal Processing
%D 2009
%I Springer
%R 10.1155/2009/620404
%X We describe a video tracking application using the dual-tree Polar Matching Algorithm. We develop the dynamical and observation models in a probabilistic setting and study the empirical probability distribution of the Polar Matching output. We model the visible and occluded target statistics using Beta distributions. This is incorporated into a Track-Before-Detect (TBD) solution for the overall observation likelihood of each video frame and provides a principled derivation of the observation likelihood. Due to the nonlinear nature of the problem, we design a Rao-Blackwellised Particle Filter (RBPF) for the sequential inference. Computer simulations demonstrate the ability of the algorithm to track a simulated video moving target in an urban environment with complete and partial occlusions.
%U http://dx.doi.org/10.1155/2009/620404