Deep convolutional neural networks for efficient pose estimation in gesture videos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9003, Issue , 2015, Pages 538-552

  Pfister, Tomas ^a   Simonyan, Karen ^a   Charles, James ^b   Zisserman, Andrew ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; MOTION ESTIMATION; NEURAL NETWORKS;

BETTER PERFORMANCE; CONVOLUTIONAL NEURAL NETWORK; FOREGROUND SEGMENTATION; POSE ESTIMATION; POSE PREDICTIONS; STATE OF THE ART; TEMPORAL INFORMATION; VARYING BACKGROUND;

COMPLEX NETWORKS;

EID: 84938869605     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-16865-4_35     Document Type: Conference Paper

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