DocumentCode
2662108
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
fYear
2009
fDate
9-11 Nov. 2009
Firstpage
80
Lastpage
85
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MHS.2009.5352076
Filename
5352076
Link To Document