Improvement of a Structured Motion Database for High Accuracy Human Motion Recognition(<Special Issue>Information Systems and Human Sciences)
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概要
- 論文の詳細を見る
High accuracy human action recognition is becoming an essential part in developing intelligent systems. Due to the enormous number of motion archives, a structured motion database is developed with directional organization independent of the viewpoint. Nevertheless, it had the drawbacks of recognizing the observed motion which is similar to several motions within the motion database. This is called boundary problem that occurs because of the mis-selection of neighboring motions in the retrieval process. The performance may highly drop when this problem exists. In this paper, we propose a novel resolution approach to this problem to improve the system's performance. We propose two sets of B-Tree database structure: the original B-tree and a left- or right-shifted B-tree. The motions are represented as Motion History Image (MHI) and Exclusive-OR (XOR) representations, and the directional eigenspaces are used as motion extracted feature vector space. The improvement in the recognition rate adopting the proposed approach signifies high accuracy human motion recognition.
著者
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Kim Hyoungseop
Department Of Control Eng. Kyushu Institute Of Technology
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Ishikawa Seiji
Department Of Anesthesiology And Critical Care Medicine School Of Medicine Tokyo Medical And Dental
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TAN Joo
Department of Control Engineering, Faculty of Engineering, Kyushu Institute of Technology
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ISHIKAWA Seiji
Department of Control Engineering, Faculty of Engineering, Kyushu Institute of Technology
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EFTAKHAR S.M.Ashik
Department of Control Engineering, Faculty of Engineering, Kyushu Institute of Technology
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KIM Hyoungseop
Department of Control Engineering, Faculty of Engineering, Kyushu Institute of Technology
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