Title :
Evolutionary robot vision and particle swarm optimization for Multiple human heads tracking of a partner robot
Author :
Sulistijono, Indra Adji ; Kubota, Naoyuki
Author_Institution :
Tokyo Metropolitan Univ., Tokyo
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.
Keywords :
evolutionary computation; man-machine systems; particle swarm optimisation; robot vision; tracking; evolutionary computation; evolutionary robot vision; multiple human heads tracking; natural communication; particle swarm optimization; partner robot; Color; Evolutionary computation; Face detection; Head; Human robot interaction; Image processing; Particle swarm optimization; Particle tracking; Robot vision systems; Visual perception;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4424655