Survey On Feature Extraction Approach for Human Action Recognition in Still Images and Videos

Authors

  • Pavan M  Assistant Professor, Department of ISE, JNNCE, Shivamogga, Karnataka, India
  • Deepika D  Department of ISE, JNNCE, Shivamogga, Karnataka, India
  • Divyashree R  Department of ISE, JNNCE, Shivamogga, Karnataka, India
  • Kavana K  Department of ISE, JNNCE, Shivamogga, Karnataka, India
  • Pooja V Biligi  Department of ISE, JNNCE, Shivamogga, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT228392

Keywords:

Computer vision; Human Action Recognition; Still image-based; Video-based.

Abstract

Human Action Recognition (HAR) has been a challenging problem yet it needs to be solved. Recently the detection and recognition of human action has broad range of applications and is popularized in the field of computer vision. It mainly focuses on to understand human behaviour and name a label to each action. There are many approaches for action recognizing from both image and video based actions. Now it is time to review these existing approaches in order to help for future research. The main aim of this work is to study the various action recognition techniques in videos and images. The paper presents a brief overview of features of human actions by categorizing as still image-based and video-based. All related datasets are also introduced in this paper, which will be helpful for future research.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-06-30

Issue

Volume 8, Issue 3, May-June-2022

Section

Research Articles

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How to Cite

[1]
Pavan M, Deepika D, Divyashree R, Kavana K, Pooja V Biligi, " Survey On Feature Extraction Approach for Human Action Recognition in Still Images and Videos, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.359-369, May-June-2022. Available at doi : https://doi.org/10.32628/CSEIT228392