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Integrated and Deep Learning–Based Social Surveillance System: a Novel Approach Cover

Integrated and Deep Learning–Based Social Surveillance System: a Novel Approach

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 16 (2022): Issue 3 (August 2022)
By: ,  ,   and    
Open Access
|Sep 2023
Authors

Authors

Ratnesh Litoriya

litoriya.ratnesh@gmail.com

Computer Science Engineering Dept, Medi-Caps University, Indore, India

Dev Ramchandani

Computer Science Engineering Dept, Medi-Caps University, Indore, India

Dhruvansh Moyal

Computer Science Engineering Dept, Medi-Caps University, Indore, India

Dhruv Bothra

Computer Science Engineering Dept, Medi-Caps University, Indore, India
DOI: https://doi.org/10.14313/jamris/3-2022/22 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 30 - 39
Submitted on: Apr 6, 2022
Accepted on: May 3, 2022
Published on: Sep 6, 2023
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Video Surveillance,
object detection,
object tracking,
YOLO v4 algorithm,
OpenCV
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2023 Ratnesh Litoriya, Dev Ramchandani, Dhruvansh Moyal, Dhruv Bothra, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 16 (2022): Issue 3 (August 2022)
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