Visual nervous network for moving object recognition

Noriaki Sato, Masafumi Hagiwara

研究成果: Conference article査読

抄録

In this paper, we propose a visual nervous network for moving object recognition. This network is based on a visual nervous network which has a hierarchical parallel structure. The network consists of three modules: the movement detection module, the moving object estimation module and the moving object recognition module. The movement detection module detects moving points and their direction. The moving object estimation module estimates the moving object on motion features. The moving object recognition module recognizes the moving object on its form feature. The network is able to recognize the moving object by uniting motion recognition and pattern recognition. We carried out computer simulations using real moving images to confirm the effectiveness of the proposed network.

本文言語English
ページ(範囲)2557-2562
ページ数6
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
4
出版ステータスPublished - 2000 12 1
イベント2000 IEEE International Conference on Systems, Man and Cybernetics - Nashville, TN, USA
継続期間: 2000 10 82000 10 11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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