
Human Action Recognition with Depth Cameras
Springer (Publisher)
Published on 4. February 2014
Book
Paperback/Softback
VIII, 59 pages
978-3-319-04560-3 (ISBN)
Description
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 andpractitioners.
Reviews / Votes
"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)
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
23 s/w Abbildungen, 9 farbige Abbildungen
VIII, 59 p. 32 illus., 9 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 5 mm
Weight
119 gr
ISBN-13
978-3-319-04560-3 (9783319045603)
DOI
10.1007/978-3-319-04561-0
Schweitzer Classification
Other editions
Additional editions

Jiang Wang | Zicheng Liu | Ying Wu
Human Action Recognition with Depth Cameras
E-Book
01/2014
1st Edition
Springer
€53.49
Available for download
Content
Introduction.- Learning Actionlet Ensemble for 3D Human Action Recognition.- Random Occupancy Patterns.- Conclusion.