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Intelligent Video Surveillance Mechanisms for Abnormal Activity Recognition in Real-Time: A Systematic Literature Review Cover

Intelligent Video Surveillance Mechanisms for Abnormal Activity Recognition in Real-Time: A Systematic Literature Review

KDU Journal of Multidisciplinary Studies

Volume 5 (2023): Issue 1

By: P. G. I. M. Chandrasekara , L. L. Gihan Chathuranga, K. A. A. Chathurangi, D. M. K. N. Seneviratna and R. M. K. T. Rathnayaka

Open Access

|Jul 2023

Authors

P. G. I. M. Chandrasekara

pgimchandrasekara@std.appsc.sab.ac.lk

Sabaragamuwa University of Sri Lanka

L. L. Gihan Chathuranga

editorkjms@kdu.ac.lk

University of Ruhuna, Matara

K. A. A. Chathurangi

editorkjms@kdu.ac.lk

Uva Wellassa University of Sri Lanka

D. M. K. N. Seneviratna

editorkjms@kdu.ac.lk

University of Ruhuna, Matara

R. M. K. T. Rathnayaka

editorkjms@kdu.ac.lk

Sabaragamuwa University of Sri Lanka

Articles in this issue

DOI: https://doi.org/10.4038/kjms.v5i1.60 | Journal eISSN: 2579-2229

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Language: English

Page range: 26 - 40

Published on: Jul 11, 2023

Published by: General Sir John Kotelawala Defence University

In partnership with: Paradigm Publishing Services

Keywords:

Machine learning,

Video surveillance

© 2023 P. G. I. M. Chandrasekara, L. L. Gihan Chathuranga, K. A. A. Chathurangi, D. M. K. N. Seneviratna, R. M. K. T. Rathnayaka, published by General Sir John Kotelawala Defence University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 5 (2023): Issue 1

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