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Human Activity Recognition and Prediction
Yun . Ed(S): Fu
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Description for Human Activity Recognition and Prediction
Hardback. Editor(s): Fu, Yun. Num Pages: 181 pages, 64 black & white illustrations, 6 colour illustrations, 60 colour tables, biography. BIC Classification: TTBM; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 444.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
181
Condition
New
Number of Pages
174
Place of Publication
Cham, Switzerland
ISBN
9783319270029
SKU
V9783319270029
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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