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書名 Human activity recognition and prediction / edited by Yun Fu
出版項 Cham : Springer International Publishing : Imprint: Springer, 2016
國際標準書號 9783319270043 (electronic bk.)
9783319270029 (paper)
國際標準號碼 10.1007/978-3-319-27004-3 doi
book jacket
說明 1 online resource (vii, 174 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
附註 Introduction -- Action and Activities -- Action Recognition and Human Interaction -- Multimodal Action Recognition -- RGB-D Action Recognition -- Actionlets and Activity Prediction -- Time Series Modeling for Activity Prediction -- RGB-D Action Prediction
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
Host Item Springer eBooks
主題 Machine learning
Human-computer interaction
Engineering
Signal, Image and Speech Processing
Image Processing and Computer Vision
Biometrics
Alt Author Fu, Yun, editor
SpringerLink (Online service)
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