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...

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Bibliografiska uppgifter
Huvudupphovsmän:	Pfister, T, Simonyan, K, Charles, J, Zisserman, A
Materialtyp:	Conference item
Språk:	English
Publicerad:	Springer 2015

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