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

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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: Ratnesh Litoriya, Dev Ramchandani, Dhruvansh Moyal and Dhruv Bothra

Open Access

|Sep 2023

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,

Related subjects:

Computer sciences,

Artificial intelligence,

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.

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