12, ISBN: 9783319270043

This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recogniti… Mehr…

This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques. Electronics, Technology, Human Activity Recognition and Prediction~~ Yun Fu~~Electronics~~Technology~~9783319270043, en, Human Activity Recognition and Prediction, Yun Fu, 9783319270043, Springer, 12/23/2015, , , , Springer, 12/23/2015<

ISBN: 9783319270043

This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recogniti… Mehr…

This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques. This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research Computer > Foto,Grafik,DTP|Sonstiges, Springer-Verlag<

ISBN: 9783319270043

; PDF; Scientific, Technical and Medical > Other technologies & applied sciences > Applied optics > Imaging, Springer Berlin Heidelberg

2015, ISBN: 9783319270043

eBooks, eBook Download (PDF), 1st ed. 2016, [PU: Springer International Publishing], Springer International Publishing, 2015

2016, ISBN: 9783319270043

[ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]