Gesture Recognition

  • Sergio Escalera
  • Isabelle Guyon
  • Vassilis Athitsos

Table of contents

  1. Front Matter
    Pages i-xii
  2. Sergio Escalera, Vassilis Athitsos, Isabelle Guyon
    Pages 1-60
  3. Helen Cooper, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden
    Pages 89-118
  4. Manavender R. Malgireddy, I. Nwogu, V. Govindaraju
    Pages 155-181
  5. Sunita Nayak, Kester Duncan, Sudeep Sarkar, Barbara Loeding
    Pages 203-230
  6. Anastasios Roussos, Stavros Theodorakis, Vassilis Pitsikalis, Petros Maragos
    Pages 231-271
  7. Yang Wang, Duan Tran, Zicheng Liao, David Forsyth
    Pages 273-301
  8. Sean Ryan Fanello, Ilaria Gori, Giorgio Metta, Francesca Odone
    Pages 303-328
  9. Jun Wan, Qiuqi Ruan, Wei Li, Shuang Deng
    Pages 329-364
  10. Jakub Konečný, Michal Hagara
    Pages 365-385
  11. Feng Jiang, Shengping Zhang, Shen Wu, Yang Gao, Debin Zhao
    Pages 387-416
  12. Jiaxiang Wu, Jian Cheng
    Pages 417-441
  13. Norberto A. Goussies, Sebastián Ubalde, Marta Mejail
    Pages 443-466
  14. Vassilis Pitsikalis, Athanasios Katsamanis, Stavros Theodorakis, Petros Maragos
    Pages 467-496
  15. Nicholas Gillian, Joseph A. Paradiso
    Pages 497-502
  16. Long-Van Nguyen-Dinh, Alberto Calatroni, Gerhard Tröster
    Pages 503-537
  17. Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró et al.
    Pages 539-578

About this book

Introduction

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.

Keywords

Artificial intelligence Image processing Gesture recognition Motion sensing Computer vision

Editors and affiliations

  1. 1.University of BarcelonaBarcelonaSpain
  2. 2.ChaLearnBerkeleyUSA
  3. 3.Department of Computer Science and EngineeringUniversity of Texas at ArlingtonArlingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57021-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-57020-4
  • Online ISBN 978-3-319-57021-1
  • Series Print ISSN 2520-131X
  • Series Online ISSN 2520-1328
  • About this book