Evolutionary robot vision and particle swarm optimization for Multiple human heads tracking of a partner robot

Abstract

This paper discusses the advantage and disadvantage of evolutionary robot vision and particle swarm optimization for multiple human heads tracking. Evolutionary robot vision combines the technologies of the evolutionary computation and robot vision. Both of evolutionary computation and particle swarm optimization can perform the multiple human heads tracking well for feasible solution in a dynamic movement. This paper compares their performance. Finally, the proposed method is applied to a partner robot, and we discuss the effectiveness of the multiple human heads tracking in the natural communication with humans.