UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDV06018


Registration ID:
231862

Page Number

75-79

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Title

Suspicious Activity Detection And Tracking In Surveillance Videos

Abstract

Recently, the utilization of security cameras for crime prevention and early detection of emergencies worldwide has been increased. The expansion in the use of surveillance cameras has aided in crime detection, captures and crime prevention. However, in many cases, it will be recognized and resolved after the occurrence of the crime and concerning continuous surveillance, the weight on the surveillance side is overwhelming and there are situations where suspicious activity may go unnoticed. To overcome this obstacle, a surveillance system that employs Human Activity Recognition techniques which can efficiently decide if the objective individual is an ordinary individual or a suspicious individual can be deployed. It is likewise expected that establishing detection systems can act as a hindrance against crime. This paper proposes a surveillance system that utilizes YOLO and ResNet for detecting suspicious individuals and activities.

Key Words

Surveillance, Crime Detection, Suspicious Activity, Human Activity Recognition, YOLO, ResNet

Cite This Article

"Suspicious Activity Detection And Tracking In Surveillance Videos ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.75-79, May-2020, Available :http://www.jetir.org/papers/JETIRDV06018.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Suspicious Activity Detection And Tracking In Surveillance Videos ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp75-79, May-2020, Available at : http://www.jetir.org/papers/JETIRDV06018.pdf

Publication Details

Published Paper ID: JETIRDV06018
Registration ID: 231862
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 75-79
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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