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Motion History Images for Action Recognition and Understanding

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-1-4471-4730-5

ISBN: 978-1-4471-4729-9

Publisher: Springer London - Springer Journals

Dec 20, 2012

Available

Introduction

Ahad, Md. A. R.

Pages: 1 –18

[Action and activity representation and recognition are very demanding research areas in computer vision and man–machine interaction. Although plenty of researches have been done in the field of action recognition, it remains still immature and not enough. This chapter overviews various issues...
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Action Representation

Ahad, Md. Atiqur Rahman

Pages: 19 –29

[In this chapter, various action recognition issues are covered in a concise manner. Various approaches are presented here. In Chap. 1, nomenclatures, various aspects of action recognition are detailed. Hence, the previous chapter is crucial to provide a base for this chapter.]
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Motion History Image

Ahad, Md. A. R.

Pages: 31 –76

[This chapter presents the Motion History Image (MHI) and the Motion Energy Image (MEI) templates, which have been in use by researchers for over a decade due to its simplicity and ease to implement with good performance. A tutorial on the MHI method is presented here. It covers the shortcomings...
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Action Datasets and MHI

Ahad, Md. Atiqur Rahman

Pages: 77 –85

[ There are a number of benchmark datasets for action, activity, gesture, and gait recognition. In this chapter, we present mainly those which are used to evaluate the MHI or its variants.]

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