UGC Approved Journal no 63975(19)

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

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2006069


Registration ID:
233919

Page Number

470-476

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Title

Unusual Activity Detection in Crowd using Deep Learning

Abstract

Modern technology is making people’s life easier, but the safety of life is also the most important thing. Crowded places like public events, stadiums, festival grounds, rally affects not only the comfort level of humans, but it also increases the risk of safety of pedestrians and other civilians. Heavy crowds may lead to major accidents, crowd-crush and causing an overall control loss. To reduce the risk of civilians in heavy crowds, we have worked with technology to manage the crowd. The applications of crowd management are manifold, ranging from crowd counting to human computer interaction. Research articulated here is focused on how to detect any unusual event in crowds at the early stage using modern technology like Deep learning so that it can be handled and managed timely and causes least harm to civilians. The concept of Convolutional Neural Network is utilized for processing of images and videos.

Key Words

Crowd Management, Deep Learning, CNN, Image Processing, Element Extraction, Frame Division, Farneback

Cite This Article

"Unusual Activity Detection in Crowd using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.470-476, June-2020, Available :http://www.jetir.org/papers/JETIR2006069.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

"Unusual Activity Detection in Crowd using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp470-476, June-2020, Available at : http://www.jetir.org/papers/JETIR2006069.pdf

Publication Details

Published Paper ID: JETIR2006069
Registration ID: 233919
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 470-476
Country: Anand, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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