Object segmentation using maximum neural networks for the gesture recognition system

Noriko Yoshiike, Yoshiyasu Takefuji

研究成果: Article査読

5 被引用数 (Scopus)

抄録

In this paper, we present a new clustering method for segmentations of moving target and non-target objects. We assume that the moving target object has the following conditions: (1) object motion data continuity inter-frame, and (2) object motion data continuity intra-frame. In our model, clusters tend to form as filling these two conditions. The experimental results showed the effectiveness of the proposed algorithm and the performance of this model in terms of the quality of the recognition results. Our algorithm is able to clean the input noise by removing non-target objects before the recognition process.

本文言語English
ページ(範囲)213-224
ページ数12
ジャーナルNeurocomputing
51
DOI
出版ステータスPublished - 2003 4

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 認知神経科学
  • 人工知能

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