The Images Tracking Algorithm Using Particle Filter Based on Dynamic Salient Features of Targets

Focusing on the problem of tracking moving targets in image sequences with complex background,a particle-filter tracking algorithm based on dynamic salient feature of targets is proposed.Using for reference the research results of visual attention of psychology,the algorithm fuses the gray-level and the detail and motion of the targets to form a robust dynamic salient feature as the state vector of the particle filter.The salient feature of the targets in the algorithm sources from the bottom characteristics of the targets,so the algorithm is robust.What's more,the particle filter could solve non-linear and non-Gaussian state estimation.In a word,the algorithm could deal with the trace management of the multi-targets tracking,and cope with appearing and disappearing and combining and dividing of the targets,and partial occlusions then recovering the tracks after temporary loss.The experimental results show that the new algorithm could accomplish the multi-targets tracking in complex image sequences.