Fuzzy Particle Filter for Target Tracking

For the lack of the traditional particle filter and particle filter based on the colour histogram in the background illumination and the deformation and transformation of target, fuzzy particle filter combined with the classical Monte Carlo algorithm employs fuzzy technique to extract the target features. Colour image sequence converts from RGB to L*a*b Colour space of the International Illumination Commission. Fuzzy particle filter and re-sampling weight superimposed is more effective in reducing the number of particles and enhances traditional particle filter capacity to the recognition positioning and real-time tracking. Experimental results displayed that the method in the target shape, attitude or background illumination in intraday variation tracked target in real time. The algorithm enhances the traditional particle filter robustness and real-time in the light of dramatic changes, background constant variation and the target deformation self-adaptive. And the partially obscured target is not lost. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer review under responsibility of American Applied Science Research Institute