Toward Human Arm Attention and Recognition

  • Authors:
  • Takeharu Yoshizuka;Masaki Shimizu;Hiroyuki Miyamoto

  • Affiliations:
  • Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 808-0196;Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 808-0196;Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 808-0196

  • Venue:
  • Neural Information Processing
  • Year:
  • 2007

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Abstract

We aim to develop a vision system that focuses on the human arm and recognizes the arm posture in complex scenes. In this paper, we introduce a computer-vision-based approach and a neocognitron-type neural network. In our computer-vision-based approach, we propose a method for arm posture estimation using an arm model with three kinds of small areas in the complex background and clothes patterns. In our neocognitron-based approach, we investigate the functional similarity between the neocognitron and the ventral visual pathway. We examine to the expand neocognitron base on stereo.