G1500-4-5 特徴量選択に基づくマルチロボット分散協調物体追跡(ロボティクス・メカトロニクス部門一般講演(4):ロボットと相互作用,社会変革を技術で廻す機械工学)
詳細
This paper proposes a cooperative visual object tracking by multi-robot system, where robust cognitive sharing is essential between the robots. However, one of the main issues in vision-based distributed observation is the significant differences in the background image for the interested object. According to the observing point of the robot, effective invariant feature to identify the interested object is different. In this paper, we propose an ambiguity index to select better feature algorithm for object tracking. Experimental result shows promising result for the effective multi-robot cognitive sharing.
