FULL-BODY JOINT IMAGE TRACKING METHOD USING EVOLUTIONARY EXEMPLAR-BASED PARTICLE FILTER

摘要

The present invention relates to an image tracking method. Particularly, a full-body joint image tracking method using an evolutionary exemplar-based particle filter improves the accuracy of a full-body joint image tracking by determining an optimal pose of the present through a particle filter synthetically based on resampled sample particles after the optimal pose is determined at some previous time and exemplar-based particles renewed along the flow of time. [Reference numerals] (AA) Start;(BB) End;(S1000) Generate exemplar-based pose particle DB and sample particle DB;(S2000) Input a silhouette image;(S3000) Calculate similarity between the silhouette image and exemplar-based pose particles;(S4000) Predict present pose particles from exemplar-based pose particles and sample particles by using a particle filter;(S5000) Calculate similarity between the present pose particles and the silhouette image;(S6000) Determine an optimal pose;(S7000) Re-sample the present pose particles and update sample particle DB;(S8000) Update the optimal pose to the exemplar-based pose particle DB;(S9000) Input a next silhouette image?