Motion History Images for Action Recognition and Understanding

  • Md. Atiqur Rahman Ahad

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Md. A. R. Ahad
    Pages 1-18
  3. Md. Atiqur Rahman Ahad
    Pages 19-29
  4. Md. A. R. Ahad
    Pages 31-76
  5. Md. Atiqur Rahman Ahad
    Pages 77-85
  6. Back Matter
    Pages 87-121

About this book

Introduction

Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers.  The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges.  Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.

Keywords

Motion History Image (MHI)

Authors and affiliations

  • Md. Atiqur Rahman Ahad
    • 1
  1. 1.Faculty of EngineeringKyushu Institute of TechnologyKitakyushuJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4730-5
  • Copyright Information Md. Atiqur Rahman Ahad 2013
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-4729-9
  • Online ISBN 978-1-4471-4730-5
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book