DocumentCode
2690756
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
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
1535
Lastpage
1541
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CEC.2007.4424655
Filename
4424655
Link To Document