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Gabor Filter-based Feature Extraction for Human Activity Recognition
Nguyen Anh Tu(윈안두),Young Koo Lee(이영구),Sungyoung Lee(이승룡) 한국정보과학회 2011 한국정보과학회 학술발표논문집 Vol.38 No.1C
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.