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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 10, OCTOBER 2021

INTELLIGENT VIDEO SURVEILLANCE BASED ON OBJECT DETECTION

Abhishek Jejurker, Mayur Arote, A. R. Kamble, Pratibha Kutal, Vaishanvi patil

DOI: 10.17148/IJARCCE.2021.101025

Abstract: In today’s fast-growing world of internet, we see most existing surveillance systems require human interaction where security guards watch the monitor wall and manually trigger alarms when they detect security violations. Due to the lack of attention of the operator, the possibility of missing alarms is high, even for well-trained security personnel. These issues lead to the need for an automated video surveillance system, an artificial intelligent system, which is designed to automatically tracks, security violations in a monitored scene. Video surveillance involves the act of observing a scene for a specific behavior that are improper, and by using the object detection algorithm detect the improper object and track that object. Video surveillance is having vast number of applications. The aim of the surveillance applications is to detect, track and classify targets. We have specifically focused on object detection.

Keywords: Video Surveillance, Detect, Object Detection

How to Cite:

[1] Abhishek Jejurker, Mayur Arote, A. R. Kamble, Pratibha Kutal, Vaishanvi patil, “INTELLIGENT VIDEO SURVEILLANCE BASED ON OBJECT DETECTION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101025