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Gesture recognition

Escalera, Sergio.

Gesture recognition

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Gesture recognition/ edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos.
other author:	Escalera, Sergio.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xii, 578 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Gesture - Data processing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-57021-1
ISBN:	9783319570211

Gesture recognition
Gesture recognition[electronic resource] /edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos. - Cham :Springer International Publishing :2017. - xii, 578 p. :ill., digital ;24 cm. - The Springer series on challenges in machine learning,2520-131X. - Springer series on challenges in machine learning..

Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5.

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.

ISBN: 9783319570211

Standard No.: 10.1007/978-3-319-57021-1doiSubjects--Topical Terms:

1198710
Gesture
--Data processing.

LC Class. No.: TK7882.P3 / G47 2017

Dewey Class. No.: 006.42

Gesture recognition
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020 $a 9783319570204 $q (paper)
024 7 $a 10.1007/978-3-319-57021-1 $2 doi
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245 0 0 $a Gesture recognition $h [electronic resource] / $c edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a xii, 578 p. : $b ill., digital ; $c 24 cm.
490 1 $a The Springer series on challenges in machine learning, $x 2520-131X
505 0 $a Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5.
520 $a 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.
650 0 $a Gesture $x Data processing. $3 1198710
650 0 $a Machine learning. $3 561253
650 0 $a Pattern recognition systems. $3 557384
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Pattern Recognition. $3 669796
700 1 $a Escalera, Sergio. $3 815991
700 1 $a Guyon, Isabelle. $3 1198708
700 1 $a Athitsos, Vassilis. $3 1198709
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Springer series on challenges in machine learning. $3 1143127
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-57021-1
950 $a Computer Science (Springer-11645)

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