SpringerBriefs in Computer Science

Human Action Recognition with Depth Cameras

Authors: Wang, Jiang, Liu, Zicheng, Wu, Ying

  • Presents a comprehensive overview of the state of the art in feature representation and machine learning algorithms for action recognition from depth sensors
  • Provides in-depth descriptions of novel feature representations and machine learning techniques
  • Covers lower-level depth and skeleton features, higher-level representations to model temporal structure and human-object interactions, and feature selection techniques for occlusion handling
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eBook $39.99
price for Mexico (gross)
  • ISBN 978-3-319-04561-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for Mexico
  • ISBN 978-3-319-04560-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Action recognition technology has many real-world applications in human-computer interaction, surveillance, video retrieval, retirement home monitoring, and robotics. The commoditization of depth sensors has also opened up further applications that were not feasible before. This text focuses on feature representation and machine learning algorithms for action recognition from depth sensors. After presenting a comprehensive overview of the state of the art, the authors then provide in-depth descriptions of their recently developed feature representations and machine learning techniques, including lower-level depth and skeleton features, higher-level representations to model the temporal structure and human-object interactions, and feature selection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers and practitioners.

Reviews

“It is a relatively short but self-contained volume that presents recent advances in the popular research area of human action recognition. … I was quite pleased when the student, to whom I passed the book for a through read, told me at the end that he found it very useful and a good start for his research. ... book is a good read for someone with an existing background in depth camera technology and research about human action recognition.” (Nicola Bellotto, IAPR Newsletter, Vol. 37 (2), 2015)


Table of contents (4 chapters)

Buy this book

eBook $39.99
price for Mexico (gross)
  • ISBN 978-3-319-04561-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for Mexico
  • ISBN 978-3-319-04560-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Human Action Recognition with Depth Cameras
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-04561-0
DOI
10.1007/978-3-319-04561-0
Softcover ISBN
978-3-319-04560-3
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VIII, 59
Number of Illustrations and Tables
23 b/w illustrations, 9 illustrations in colour
Topics