Human Activity Recognition and Prediction
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Human Activity Recognition and Prediction

Human Activity Recognition and Prediction


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About the Book

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.

Table of Contents:
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.


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Product Details
  • ISBN-13: 9783319270029
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 174
  • Returnable: Y
  • Width: 155 mm
  • ISBN-10: 3319270028
  • Publisher Date: 06 Jan 2016
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Weight: 489 gr


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Human Activity Recognition and Prediction
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