UGC Approved Journal no 63975(19)

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

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2105662


Registration ID:
309721

Page Number

f1-f6

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Title

A Real-time Crowd Counting application with Live analytics and selective detection using YOLOv4

Abstract

With increase in population and development of countries crowd occurrences have increased all over the world and have provided a necessity to create a crowd analysis tool for the sake of security and crowd management. To ensure public safety, it is critical to understand crowd dynamics and congestion circumstances at crowded scenes. These analytics can be provided by Crowd Counting using computer vison and neural networks. There have been many methods that have proposed various methods for Crowd Counting. In this paper we propose an application for Real-time Crowd Counting with a selective detection feature and we are using YOLOv4 as a base for object detection and we also a created an analytics system that makes use of the live data

Key Words

Convolutional Neural Network (CNN), Image classification, Crowd Counting, YOLOv4, Computer Vision

Cite This Article

"A Real-time Crowd Counting application with Live analytics and selective detection using YOLOv4", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f1-f6, May-2021, Available :http://www.jetir.org/papers/JETIR2105662.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

"A Real-time Crowd Counting application with Live analytics and selective detection using YOLOv4", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf1-f6, May-2021, Available at : http://www.jetir.org/papers/JETIR2105662.pdf

Publication Details

Published Paper ID: JETIR2105662
Registration ID: 309721
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: f1-f6
Country: Thane , Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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