Deep convolutional neural networks for efficient pose estimation in gesture videos

Deep convolutional neural networks for efficient pose estimation in gesture videos

Our objective is to efficiently and accurately estimate the upper body pose of humans in gesture videos. To this end, we build on the recent successful applications of deep convolutional neural networks (ConvNets). Our novelties are: (i) our method is the first to our knowledge to use ConvNets for e...

书目详细资料
Main Authors:	Pfister, T, Simonyan, K, Charles, J, Zisserman, A
格式:	Conference item
语言:	English
出版:	Springer 2015

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