2P2-B20 進化モデルを用いた人間の特徴抽出及び自動追従(ロボットビジョン)

概要

論文の詳細を見る
This paper proposes a method to extract color information based on the feature area of a person's shape and how to use the information to track the target human from in real time. In this research, we perform the recognition through optimization and finding the solution using Genetic-Algorithm(GA), and the evaluation of the form of subjects using Model-based matching method. The parameters of shape and the color of the model are used to search in the gene of GA as a newly obtained information of that tracking human. Then the search model is continuousiy changed to the shape of the terget human to reflect and adapt to the individual feature in the dynamic image. It is shown that our method is able to extract the several features automatically by tracking experiments to human.
一般社団法人日本機械学会の論文
2008-06-06