Human Activity Recognition and Prediction

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
Cover of the book Human Activity Recognition and Prediction by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319270043
Publisher: Springer International Publishing Publication: December 23, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319270043
Publisher: Springer International Publishing
Publication: December 23, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Séminaire de Probabilités XLVIII by
Cover of the book Recognition of Foreign Administrative Acts by
Cover of the book Cartilage Restoration by
Cover of the book Algae-Based Biopharmaceuticals by
Cover of the book Integral and Discrete Inequalities and Their Applications by
Cover of the book Observing Nebulae by
Cover of the book Primary Exergy Cost of Goods and Services by
Cover of the book Wind Turbine Aerodynamics and Vorticity-Based Methods by
Cover of the book A Revolution in Economic Theory by
Cover of the book Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection by
Cover of the book Operations Research Proceedings 2015 by
Cover of the book Topological Microfluidics by
Cover of the book Energy, Risk and Governance by
Cover of the book Nanomaterials for Sustainable Energy by
Cover of the book Sensing and Control for Autonomous Vehicles by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy