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.

Sommario

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

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Vassilis Athitsos (Editore), Sergio Escalera (Editore), Isabell Guyon (Editore), Isabelle Guyon (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.07.2017
• EAN: 9783319570204
• ISBN: 978-3-31-957020-4
• Pagine: 578
• Dimensioni: 163 mm x 38 mm x 234 mm
• Peso: 1052 g
• Illustrazioni: XII, 578 p. 214 illus., 170 illus. in color.
• Serie: The Springer Series on Challenges in Machine Learning; The Springer Series on Challenges in Machine Learning
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica