Gesture Recognition

• Corporate Author: SpringerLink (Online service)
• Other Authors: Escalera, Sergio (Editor), Guyon, Isabelle (Editor), Athitsos, Vassilis (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: The Springer Series on Challenges in Machine Learning,
• Subjects: Computer science.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.; Pattern Recognition.
• Physical Description: XII, 578 p. 214 illus., 170 illus. in color. online resource.
• ISBN: 9783319570211
• ISSN: 2520-131X

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.