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Multiple object detection for intelligent robot vision by using growing neural gas

Hironobu Sasaki, Naoyuki Kubota, Kousuke Sekiyama, Toshio Fukuda

Year
2009
Citations
8

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

Artificial intelligenceRobotComputer visionComputer scienceObject detectionObject (grammar)PerceptionCognitive neuroscience of visual object recognitionMachine visionRobot vision

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