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Computer Science - Image Processing | Motion History Images for Action Recognition and Understanding

Motion History Images for Action Recognition and Understanding

Ahad, Md. Atiqur Rahman

2013, XVI, 116 p. 34 illus.

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  • Examines the state-of-the-art motion history image (MHI) method
  • Suitable for both undergraduate and graduate students familiar with basic image processing, and for researchers involved in human action and activity representation and recognition
  • The author has more than six years’ experience in this field
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.

Content Level » Research

Keywords » Motion History Image (MHI)

Related subjects » Image Processing

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