Title :
Particle swarm intelligence robot vision for multiple human 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 particle swarm intelligence robot vision for multiple human heads tracking. The particle swarm intelligence robot vision combines the technologies of the swarm intelligence computation and robot vision. Particle swarm optimization can perform the multiple human heads tracking well for feasible solution in a dynamic movement. This paper shows the 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 :
face recognition; feature extraction; intelligent robots; object detection; particle swarm optimisation; robot vision; tracking; visual perception; face recognition; image processing; multiple human head tracking; multiscale feature extraction; particle swarm intelligence robot vision; particle swarm optimization; partner robot; visual perception; Computational efficiency; Face detection; Head; Humans; Intelligent robots; Particle swarm optimization; Particle tracking; Robot vision systems; Robotics and automation; Visual perception; multiple human head tracking; particle swarm optimization; partner robot; visual perception;
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
DOI :
10.1109/SICE.2007.4421053
