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Human Action Recognition with Depth Cameras

BuchKartoniert, Paperback
59 Seiten
Englisch
Springererschienen am04.02.20142014
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextAction 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.
Details
ISBN/GTIN978-3-319-04560-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2014
Erscheinungsdatum04.02.2014
Auflage2014
ReiheSpringerBriefs in Computer Science
Seiten59 Seiten
SpracheEnglisch
Gewicht119 g
IllustrationenVIII, 59 p. 32 illus., 9 illus. in color.
Artikel-Nr.30713346

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Learning Actionlet Ensemble for 3D Human Action Recognition.- Random Occupancy Patterns.- Conclusion.mehr
Kritik
"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)mehr

Schlagworte

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