Measuring Traffic Flow using Video Cameras

Developing an Intelligent Transportation System (ITS) that contains the basic information of the real-time traffic flow helps Lembaga Lebuhraya Malaysia to monitor and manage the traffic flow of our country. The main purpose of this paper is to detect and count vehicles along with their direction in...

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Main Author: Mutharpavalar, Ashaashvini
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19160 /
Published: 2018
Online Access: http://utpedia.utp.edu.my/19160/1/Dissertation_finalize.pdf
http://utpedia.utp.edu.my/19160/
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id utp-utpedia.19160
recordtype eprints
spelling utp-utpedia.191602019-06-20T10:41:06Z http://utpedia.utp.edu.my/19160/ Measuring Traffic Flow using Video Cameras Mutharpavalar, Ashaashvini Developing an Intelligent Transportation System (ITS) that contains the basic information of the real-time traffic flow helps Lembaga Lebuhraya Malaysia to monitor and manage the traffic flow of our country. The main purpose of this paper is to detect and count vehicles along with their direction in real-time traffic flow by using multiple IP-based cameras. Identifying the best image processing techniques for vehicle detections and developing a complete transportation system for vehicle counting using the live videos from multiple IP-based camera has been the scope of study of this paper. Open Source Computer Vision Library (OpenCV) is used to develop the ITS as OpenCV was designed for computational efficiency and with a strong focus on real-time application. Python programming language is used as OpenCV has Python interfaces. 2018-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19160/1/Dissertation_finalize.pdf Mutharpavalar, Ashaashvini (2018) Measuring Traffic Flow using Video Cameras. UNSPECIFIED.
institution Universiti Teknologi Petronas
collection UTPedia
language English
description Developing an Intelligent Transportation System (ITS) that contains the basic information of the real-time traffic flow helps Lembaga Lebuhraya Malaysia to monitor and manage the traffic flow of our country. The main purpose of this paper is to detect and count vehicles along with their direction in real-time traffic flow by using multiple IP-based cameras. Identifying the best image processing techniques for vehicle detections and developing a complete transportation system for vehicle counting using the live videos from multiple IP-based camera has been the scope of study of this paper. Open Source Computer Vision Library (OpenCV) is used to develop the ITS as OpenCV was designed for computational efficiency and with a strong focus on real-time application. Python programming language is used as OpenCV has Python interfaces.
format Final Year Project
author Mutharpavalar, Ashaashvini
spellingShingle Mutharpavalar, Ashaashvini
Measuring Traffic Flow using Video Cameras
author_sort Mutharpavalar, Ashaashvini
title Measuring Traffic Flow using Video Cameras
title_short Measuring Traffic Flow using Video Cameras
title_full Measuring Traffic Flow using Video Cameras
title_fullStr Measuring Traffic Flow using Video Cameras
title_full_unstemmed Measuring Traffic Flow using Video Cameras
title_sort measuring traffic flow using video cameras
publishDate 2018
url http://utpedia.utp.edu.my/19160/1/Dissertation_finalize.pdf
http://utpedia.utp.edu.my/19160/
_version_ 1741195457605926912
score 11.62408

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