Title :
Video tracking using dual-tree wavelet polar matching and particle filtering
Author :
Pang, S.K. ; Nelson, J.D.B. ; Godsill, Simon J. ; Kingsbury, N.G.
Author_Institution :
Signal Process. & Commun. Lab., Univ. of Cambridge, Cambridge
Abstract :
In this paper, we describe a video tracking application using the dual-tree polar matching algorithm. The models are specified in a probabilistic setting, and a particle filter is used to perform 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.
Keywords :
computer graphics; particle filtering (numerical methods); tracking; trees (mathematics); video signal processing; wavelet transforms; computer simulations; dual-tree wavelet polar matching; occlusions; particle filtering; sequential inference; urban environment; video tracking; Dual-Tree Wavelet; Particle Filtering; Polar Matching; Video Tracking;
Conference_Titel :
Target Tracking and Data Fusion: Algorithms and Applications, 2008 IET Seminar on
Conference_Location :
Birmingham
Print_ISBN :
978-0-86341-910-2