인간의 활동 인정 가보 필터 기반의 특징 추출

홈 > 연구문헌 > 학술대회 프로시딩 > 한국정보과학회 학술대회 > 2011년 컴퓨터종합학술대회

한글제목(Korean Title)	인간의 활동 인정 가보 필터 기반의 특징 추출
영문제목(English Title)	Gabor Filter-based Feature Extraction for Human Activity Recognition
저자(Author)	윈안 두 이영구 이승룡 Nguyen Anh Tu Young Koo Lee Sungyoung Lee
원문수록처(Citation)	VOL 38 NO. 1(C) PP. 0429 ~ 0432 (2011. 06)
한글내용 (Korean Abstract)
영문내용 (English Abstract)	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.
키워드(Keyword)
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