Non-Fiction Books:

Human Activity Recognition and Prediction

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Hardback
$148.00
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Description

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.
Release date NZ
January 6th, 2016
Audience
  • Professional & Vocational
Contributor
  • Edited by Yun Fu
Edition
1st ed. 2016
Illustrations
60 Tables, color; 64 Illustrations, color; 6 Illustrations, black and white; VII, 174 p. 70 illus., 64 illus. in color.
Pages
174
Dimensions
155x235x13
ISBN-13
9783319270029
Product ID
24160367

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