Produktdetaljer
ISBN
9783319860596
Publisert
2018-08-02
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
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.
Les mer
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.
Preface.- Chapter 1.- Chapter 2.- Chapter 3.- Chapter 4.- Chapter 5.
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
Les mer
Produktdetaljer
ISBN
9783319860596
Publisert
2018-08-02
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet