Gesture Recognition [electronic resource] / / edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos.. — 1st ed. 2017.. — XII, 578 p. 214 illus., 170 illus. in color. : online resource. — (The Springer Series on Challenges in Machine Learning,) 2520-131X. - The Springer Series on Challenges in Machine Learning, .

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

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Анотація:
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.: 10.1007/978-3-319-57021-1 doi

Subjects--Topical Terms:
Artificial intelligence.
Optical data processing.
Pattern recognition.
Artificial Intelligence.
Image Processing and Computer Vision.
Pattern Recognition.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3