10207 ロボットビジョンにおける対象物のカオス探索(OS15 知能ロボット)

概要

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This research in concerned with image recognition on a robot vision using chaotic search. As a nonlinear dynamical system, BVP model is treated, which shows the behavior of neuron in biological system. This model has the edge of chaos, which exists on the boundary between a periodic solution and a chaos. This edge of chaos is an important area to maintain a flexible organization. In this research, the chaotic search is applied to image recognition utilizing the edge of chaos. First, the occurrence of chaos in BVP model is examined using the Lyapunov exponent. Second, in order to perform image recognition, a method of chaotic search is proposed and to distinguish whether it is a target, using a method of pattern matching. Finally, through simulation studies, it is verified that chaotic search is possible both for fixed and moving targets.
社団法人日本機械学会の論文
2005-03-17