Congestion Control early warning system using Deep Learning-Reference-Cited by-同舟云学术

Congestion Control early warning system using Deep Learning

Published:2021-10-30 Issue:2 Volume:3 Page:35-50
ISSN:2582-2713
Container-title:International Journal of Computer Communication and Informatics
language:
Short-container-title:ijcci

Author:

N Sandeep,N.S Ragul,P Nikil Dhas,V Vaishnavi

Abstract

A new approach is proposed to analyze the live crowd and to provide an alert at the time of congestion, over-crowding and sudden gathering of pedestrians in a particular region. This paper proposes a completely software-oriented approach using MATLAB where it uses object detection and object tracking using Faster R- CNN (Region Based Convolutional Neural Network) algorithm where inception model of Google is used as CNN model which is pre-trained. This proposed method gives significant result on proposed dataset and the crowd congestion using Faster R-CNN approach which gives an accuracy of 93.503% at the rate 28 frames per second and the crowd detected video frames are uploaded to cloud storage.

Publisher

IOR Press

Subject

Industrial and Manufacturing Engineering

Reference12 articles.

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