DocumentCode :
393569
Title :
Fish catching using gazing-GA visual servoing - verification of robustness for lighting condition varieties
Author :
Suzuki, Hidekazu ; Minami, Mamoru
Author_Institution :
Fukui Univ., Japan
Volume :
2
fYear :
2002
fDate :
5-7 Aug. 2002
Firstpage :
1280
Abstract :
The purpose of this research is to propose a scene recognition method for real-time visual servoing of a manipulator, which has robustness for lighting environments. We have verified the robustness of the proposed method against lighting condition variations and the effectiveness of the method for real-time recognition using a fish catching experiment by visual servoing of a hand-eye robot.
Keywords :
aquaculture; genetic algorithms; lighting; manipulators; object recognition; real-time systems; robot vision; servomechanisms; fish catching; gazing-GA visual servoing; hand-eye robot; lighting condition variations; lighting environment robustness; local search technique; manipulator; real-time recognition; real-time visual servoing; scene recognition method; target fish recognition; vision related technique; Artificial intelligence; Genetic algorithms; Image recognition; Layout; Manipulators; Marine animals; Robots; Robustness; Target recognition; Visual servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
Type :
conf
DOI :
10.1109/SICE.2002.1195372
Filename :
1195372
Link To Document :
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