Tracking Target in Video Sequences Based on Chaos Particle Filter

Referring to influence of illumination,shape transformation and occlusion on the tracking of the moving target in complex background,a anti-occluding and robust tracking algorithm is proposed based on chaos particle filter frame,in which the multi-cue likelihood model and occlusion dealing algorithm are constructed.In this algorithm,through chaos optimization search,the particles are optimized,the degeneracy problem is efficiently overcome and the computation is reduced.In the multi-cue likelihood model,some feature of choice is improved,which makes the algorithm robust.At the same time,the occlusion dealing makes the algorithm anti-occluding.Experimental simulation results based on the theoretical data and the actual scenes show that this algorithm is anti-occluding and robust.