2D Log-Gabor Wavelet Based Action Recognition

Ning LI  De XU  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E92-D   No.11   pp.2275-2278
Publication Date: 2009/11/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E92.D.2275
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Keyword: 
action recognition,  log-Gabor function,  motion-salient regions,  visual neurons,  

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Summary: 
The frequency response of log-Gabor function matches well the frequency response of primate visual neurons. In this letter, motion-salient regions are extracted based on the 2D log-Gabor wavelet transform of the spatio-temporal form of actions. A supervised classification technique is then used to classify the actions. The proposed method is robust to the irregular segmentation of actors. Moreover, the 2D log-Gabor wavelet permits more compact representation of actions than the recent neurobiological models using Gabor wavelet.