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Detecting abnormal behavior in megastore for intelligent surveillance through 3D deep convolutional model Cover

Detecting abnormal behavior in megastore for intelligent surveillance through 3D deep convolutional model

Journal of Electrical Engineering
Volume 74 (2023): Issue 3 (June 2023)
By: Mohd. Aquib Ansari,  Dushyant Kumar Singh and  Vibhav Prakash Singh  
Open Access
|Jul 2023
Authors

Authors

Mohd. Aquib Ansari

mansari.aquib@gmail.com

School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India
Department of Computer Science & Engineering, India

Dushyant Kumar Singh

dushyant@mnnit.ac.in

Department of Computer Science & Engineering, India

Vibhav Prakash Singh

vibhav@mnnit.ac.in

Department of Computer Science & Engineering, India
DOI: https://doi.org/10.2478/jee-2023-0020 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 140 - 153
Submitted on: Feb 2, 2023
Published on: Jul 22, 2023
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
Video Surveillance,
Human Detection,
Human activity recognition (HAR),
Abnormal behavior,
3D Convolutional Neural Network (CNN),
Deep Neural Architecture
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2023 Mohd. Aquib Ansari, Dushyant Kumar Singh, Vibhav Prakash Singh, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 74 (2023): Issue 3 (June 2023)
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