id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_oeutam4z2jd45axuyv63jaknh4	Rodrigo Cilla	Human action recognition with sparse classification and multiple-view learning	2013	12	.pdf	application/pdf	7755	995	62	Human action recognition with sparse classification and multiple-view learning Abstract: Employing multiple camera viewpoints in the recognition of human actions increases This paper presents a feature fusion approach to efficiently combine 2D observations extracted Keywords: Human Action Recognition, Multiple View Learning, L1 regularization Experimental evidence has shown that common 2D highdimensional cues employed in human action recognition, This paper presents a multi-camera human action • A feature fusion approach is proposed to combine action Multi-camera approaches to human action recognition feature-out data fusion level to perform human action 3. Feature fusion for human action recognition visual features in the recognition of human actions. non-linear algorithms, mapping the input data x to a highdimensional feature space f(x): a feature fusion method for human action recognition from 2011) 3D human action recognition for multi-view camera recognition from video: modeling, feature selection and classification architecture, in International Workshop on Human Activity feature models for arbitrary view action recognition.	./cache/work_oeutam4z2jd45axuyv63jaknh4.pdf	./txt/work_oeutam4z2jd45axuyv63jaknh4.txt