Development of Vehicle Detection Technique Using Sliding Window Tracking

This project develops a vehicle detection system to detect, count and record vehicles autonomously. Vehicle detection system is used to perform traffic measurement such as tracking, detecting and monitoring vehicles. In Malaysia, Malaysian Highway Authority (MHA) or Lembaga Lebuhraya Malaysa (LLM) i...

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Main Author: Roslin, Nik Muhammad Ariz
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19149 /
Published: 2018
Online Access: http://utpedia.utp.edu.my/19149/1/6-Final%20Dissertation.pdf
http://utpedia.utp.edu.my/19149/
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spelling utp-utpedia.191492019-06-20T10:40:57Z http://utpedia.utp.edu.my/19149/ Development of Vehicle Detection Technique Using Sliding Window Tracking Roslin, Nik Muhammad Ariz This project develops a vehicle detection system to detect, count and record vehicles autonomously. Vehicle detection system is used to perform traffic measurement such as tracking, detecting and monitoring vehicles. In Malaysia, Malaysian Highway Authority (MHA) or Lembaga Lebuhraya Malaysa (LLM) is a body responsible for conducting the traffic measurement to measure the congestion level of the highway. The congestion data collected can be further used by other official bodies such as traffic police in controlling traffic and Jabatan Kerja Raya (JKR) in route planning and management. However, the vehicle detection systems in Malaysia are not fully automated and many are relying on human to manually monitor the congestion. Motivated by the need of automated vehicle detection system, this project implements a vehicle detection system that consists of a video camera for capturing the vehicles on the road and a sliding window technique developed in Visual C++ to record, detect and count the vehicles. The performance is measured in term of accuracy by measuring the percentage of the detections. 2018-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19149/1/6-Final%20Dissertation.pdf Roslin, Nik Muhammad Ariz (2018) Development of Vehicle Detection Technique Using Sliding Window Tracking. UNSPECIFIED.
institution Universiti Teknologi Petronas
collection UTPedia
language English
description This project develops a vehicle detection system to detect, count and record vehicles autonomously. Vehicle detection system is used to perform traffic measurement such as tracking, detecting and monitoring vehicles. In Malaysia, Malaysian Highway Authority (MHA) or Lembaga Lebuhraya Malaysa (LLM) is a body responsible for conducting the traffic measurement to measure the congestion level of the highway. The congestion data collected can be further used by other official bodies such as traffic police in controlling traffic and Jabatan Kerja Raya (JKR) in route planning and management. However, the vehicle detection systems in Malaysia are not fully automated and many are relying on human to manually monitor the congestion. Motivated by the need of automated vehicle detection system, this project implements a vehicle detection system that consists of a video camera for capturing the vehicles on the road and a sliding window technique developed in Visual C++ to record, detect and count the vehicles. The performance is measured in term of accuracy by measuring the percentage of the detections.
format Final Year Project
author Roslin, Nik Muhammad Ariz
spellingShingle Roslin, Nik Muhammad Ariz
Development of Vehicle Detection Technique Using Sliding Window Tracking
author_sort Roslin, Nik Muhammad Ariz
title Development of Vehicle Detection Technique Using Sliding Window Tracking
title_short Development of Vehicle Detection Technique Using Sliding Window Tracking
title_full Development of Vehicle Detection Technique Using Sliding Window Tracking
title_fullStr Development of Vehicle Detection Technique Using Sliding Window Tracking
title_full_unstemmed Development of Vehicle Detection Technique Using Sliding Window Tracking
title_sort development of vehicle detection technique using sliding window tracking
publishDate 2018
url http://utpedia.utp.edu.my/19149/1/6-Final%20Dissertation.pdf
http://utpedia.utp.edu.my/19149/
_version_ 1741195456044597248
score 11.62408

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