Gesture Recognition (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	The Springer Series on Challenges in Machine Learning
Release date:	July 2017
First published:	2017
Editors:	Sergio Escalera • Isabelle Guyon • Vassilis Athitsos
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	578
Edition:	1st ed. 2017
ISBN-13:	978-3-319-57020-4
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-319-57020-X
Barcode:	9783319570204

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