한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
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인간의 활동 인정 가보 필터 기반의 특징 추출

Gabor Filter-based Feature Extraction for Human Activity Recognition

  • AnhTu, Nguyen (Department of Computer Engineering, Kyung Hee University) ;
  • Lee, Young-Koo (Department of Computer Engineering, Kyung Hee University) ;
  • Lee, Sung-Young (Department of Computer Engineering, Kyung Hee University)
  • 발행 : 2011.06.29

⟨ 이전 논문 다음 논문 ⟩

초록

Recognizing human activities from image sequences is an active area of research in computer vision. Most of the previous work on activity recognition focuses on recognition from a single view and ignores the issue of view invariance. In this paper, we present an independent Gabor features (IGFs) method comes from the derivation of independent Gabor features in the feature extraction stage. The Gabor transformed human image exhibit strong characteristics of spatial locality, scale and orientation selectivity.

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과제정보

연구 과제 주관 기관 : NIPA(National IT Industry Promotion Agency)