Title :
Multiple object detection for intelligent robot vision by using growing neural gas
Author :
Sasaki, Hironobu ; Kubota, Naoyuki ; Sekiyama, Kousuke ; Fukuda, Toshio
Author_Institution :
Dept. of Micro-Nano Syst. Eng., Nagoya Univ., Nagoya, Japan
Abstract :
Recently, various types of robots have been researched and developed for supporting our life. Also, the perceptual system for the robot is researched. Visual perception includes a lot of valuable information and it is useful for all intelligent robot system. In this paper, we discuss intelligent robot vision in order to detect multiple object and human. There are many visual sensors and we use the range-imaging camera to detect distance and image data. We propose a method for perceive moving target by using growing neural gas and Genetic algorithm. In the experimental results, we show the potency of our method.
Keywords :
genetic algorithms; image motion analysis; intelligent robots; mobile robots; object detection; robot vision; genetic algorithm; human detection; intelligent robot system; intelligent robot vision; multiple object detection; neural gas; visual perception; Cameras; Genetic algorithms; Humans; Image sensors; Intelligent robots; Intelligent sensors; Object detection; Robot sensing systems; Robot vision systems; Visual perception;
Conference_Titel :
Micro-NanoMechatronics and Human Science, 2009. MHS 2009. International Symposium on
Conference_Location :
Nagoya
Print_ISBN :
978-1-4244-5094-7
Electronic_ISBN :
978-1-4244-5095-4
DOI :
10.1109/MHS.2009.5352076