Motion History Images for Action Recognition and Understanding
By: by Md. Atiqur Rahman Ahad
Contributors: SpringerLink (Online service)
Series: SpringerBriefs in Computer Science
Publisher: Springer London; Imprint: Springer
Published: 2013
Place of publication: London
Language: eng
Format: [electronic resource] /
Number of pages: 116
ISBN-13: 9781447147305
Subjects: Optical pattern recognition; Pattern perception; Computer science
Description: 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.
Table of contents: title: <p>Introduction; title: Action Representation; title: Motion History Image; title: Action Datasets and MHI.</p>.