Human Activity Recognition and Classification - A Comprehensive Survey

Authors

  • G. P. Hegde  Department of Information Science, SDMIT, Ujire, Karnataka, India
  • Nireeksha  Department of Information Science, SDMIT, Ujire, Karnataka, India
  • Nithini B. K  Department of Information Science, SDMIT, Ujire, Karnataka, India
  • Soundarya M. B  Department of Information Science, SDMIT, Ujire, Karnataka, India
  • Supreetha B. V.  Department of Information Science, SDMIT, Ujire, Karnataka, India

Keywords:

Activity Recognition, Local Space, Classifier

Abstract

Human action recognition from realistic videos attracts more attention in many practical applications such as on-line video surveillance and content-based video management. Single action recognition always fails to distinguish similar action categories due to the complex background settings in realistic videos. This paper explains the various studies on human activity recognition and also focuses on steps needed for recognition of human activity using local invariant methods and classification of human activity frames.

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International Journal of Scientific Research in Science and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
G. P. Hegde, Nireeksha, Nithini B. K, Soundarya M. B, Supreetha B. V., " Human Activity Recognition and Classification - A Comprehensive Survey, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.431-436, March-April-2018.