- Research Article
- Open Access
Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter
EURASIP Journal on Advances in Signal Processing volume 2009, Article number: 620404 (2010)
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.
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Pang, S.K., Nelson, J.D., Godsill, S.J. et al. Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter. EURASIP J. Adv. Signal Process. 2009, 620404 (2010). https://doi.org/10.1155/2009/620404
- Probabilistic Setting
- Video Frame
- Beta Distribution
- Observation Model
- Partial Occlusion