An Improved Particle Filter Tracking Algorithm Based on Motion and Appearance Features

Particle filter (PF) has proven successfully for nonlinear and non-Gaussian estimate problems, but its degeneracy will influence the results of tracking. Therefore in the paper, the optical flow algorithm is utilized to generate the proposal distribution of particle filter. With the velocity message which is estimated by optical flow algorithm, the particles could be generated in a right direction. So that, more particles are given a relatively greater weight, which improves the particle degradation. This article proposes the integration of color histogram and wavelet moment into tracking algorithm for improving the veracity of object tracking. An improved particle filter tracking algorithm based on optical flow, color histogram and wavelet moment is proposed in this paper.