Gesture Recognition

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

The Springer Series on Challenges in Machine Learning

ISBN: 331957020X
ISBN 13: 9783319570204
Herausgeber: Sergio Escalera/Isabelle Guyon/Vassilis Athitsos
Verlag: Springer Verlag GmbH
Umfang: xii, 578 S., 44 s/w Illustr., 170 farbige Illustr., 578 p. 214 illus., 170 illus. in color.
Erscheinungsdatum: 31.07.2017
Auflage: 1/2017
Produktform: Gebunden/Hardback
Einband: Gebunden

Gives readers a comprehensive analysis on gesture recognition, defining a new taxonomy for the fieldFocusses on supervised machine learning methods for gesture recognitionPresents an open-source C++ library for real-time gesture recognitionReviews recent research involving deep learning architectures in order to deal with gesture and action recognition problemsIncludes supplementary material: sn.pub/extrasIncludes supplementary material: sn.pub/extras

Artikelnummer: 2132369 Kategorie:

Beschreibung

This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.

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E-Mail: juergen.hartmann@springer.com

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