Human action recognition using extreme learning machine based on visual vocabularies

Abstract

This paper introduces a novel recognition framework for human actions using hybrid features. The hybrid features consist of spatio-temporal and local static features extracted using motion-selectivity attribute of 3D dual-tree complex wavelet transform (3D DT-CWT) and affine SIFT local image detector, respectively. The proposed model offers two core… (More)
DOI: 10.1016/j.neucom.2010.01.020

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@article{Minhas2010HumanAR, title={Human action recognition using extreme learning machine based on visual vocabularies}, author={Rashid Minhas and Aryaz Baradarani and Sepideh Seifzadeh and Q. M. Jonathan Wu}, journal={Neurocomputing}, year={2010}, volume={73}, pages={1906-1917} }