Evolutionary robot vision for multiple human heads tracking of a partner robot

This paper discusses the advantage and disadvantage of evolutionary robot vision for tracking multiple humans. Evolutionary robot vision combines the technologies of the evolutionary computation and robot vision. The evolutionary computation can search for feasible solution in a dynamic environment. This paper shows its performance. The multi-scale feature extraction, working memory area and evolutionary algorithm (SSGA) were proposed. The proposed method can perform the multiple human heads tracking and also the computational cost can be reduced. Finally, the proposed method is applied to a partner robot, and we discuss the effectiveness of the multiple humans tracking in the natural communication with humans.