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.

Gives readers a comprehensive analysis on gesture recognition, defining a new taxonomy for the field Focusses on supervised machine learning methods for gesture recognition Presents an open-source C++ library for real-time gesture recognition Reviews recent research involving deep learning architectures in order to deal with gesture and action recognition problems Includes supplementary material: sn.pub/extras Includes supplementary material: sn.pub/extras

Inhalt
Preface.- Chapter 1.- Chapter 2.- Chapter 3.- Chapter 4.- Chapter 5.<p