Manuscript Number : IJSRST18457
Human Activity Recognition and Classification - A Comprehensive Survey
Authors(5) :-G. P. Hegde, Nireeksha, Nithini B. K, Soundarya M. B, Supreetha B. V. 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.
G. P. Hegde Activity Recognition, Local Space, Classifier Publication Details
Published in : Volume 4 | Issue 5 | March-April 2018 Article Preview
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
Date of Publication : 2018-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 431-436
Manuscript Number : IJSRST18457
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST18457
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