Gesture Recognition

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.

List of contents

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

Summary

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.

Product details

• Assisted by: Vassilis Athitsos (Editor), Sergio Escalera (Editor), Isabell Guyon (Editor), Isabelle Guyon (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783319860596
• ISBN: 978-3-31-986059-6
• No. of pages: 578
• Dimensions: 155 mm x 31 mm x 235 mm
• Weight: 896 g
• Illustrations: XII, 578 p. 214 illus., 170 illus. in color.
• Series: The Springer Series on Challenges in Machine Learning; The Springer Series on Challenges in Machine Learning
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; B, Artificial Intelligence, computer science, Computer Vision, Image Processing and Computer Vision, pattern recognition, Automated Pattern Recognition, Optical data processing, Image processing