The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques

One of the factors that often leads to traffic congestion in cities is traffic lights at a road intersection. Customarily, traffic lights are pre-programmed with fixed timers and does not consider vehicle intensity at intersections. It does not have an intelligent sensor to self-learn the road condi...

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Main Author:	Mohammad Syawaludin Syafiq, Hassan
Format:	Thesis
Language:	English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/16338/19/The%20development%20of%20a%20tracking%20algorithm%20for%20ambulance%20detection%20using%20squaring%20of%20RGB%20and%20HSV%20color%20processing%20techniques.pdf
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id	my-ump-ir.16338
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spelling	my-ump-ir.163382021-11-26T03:50:11Z The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques 2016-08 Mohammad Syawaludin Syafiq, Hassan T Technology (General) TK Electrical engineering. Electronics Nuclear engineering One of the factors that often leads to traffic congestion in cities is traffic lights at a road intersection. Customarily, traffic lights are pre-programmed with fixed timers and does not consider vehicle intensity at intersections. It does not have an intelligent sensor to self-learn the road conditions and number of vehicles so that the controller will react based on the traffic information at a particular intersection. Furthermore, emergency vehicles such as ambulance, fire engines and police cars, also face similar problems whenever they reach a traffic light. It is difficult to those emergency vehicles to bypass the congested traffic at traffic lights due to unintelligent traffic light system. Moreover, present smart traffic light system requires to adapt with new algorithms and technologies, for instance vision sensors that are able to detect emergency vehicles that needs to pass by a traffic light. In the future, it is expected that the detection from a tracking algorithm will automatically switch the traffic light signals based on the road conditions. In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. Through the combination of two color space, the tracking algorithm can detect the ambulance with higher percentage of detection and is insensitive to the varying illumination of sun light. HSV color space and RGB color has been used to analyze the light of the emergency vehicle as well as a feature for classification. By the combination of morphological approach to select the region of interest, the tracking algorithm delivers promising results as the tracking algorithm achieved 90% of ambulance detection at road intersections. 2016-08 Thesis http://umpir.ump.edu.my/id/eprint/16338/ http://umpir.ump.edu.my/id/eprint/16338/19/The%20development%20of%20a%20tracking%20algorithm%20for%20ambulance%20detection%20using%20squaring%20of%20RGB%20and%20HSV%20color%20processing%20techniques.pdf pdf en public masters Universiti Malaysia Pahang Faculty of Electrical and Electronics Engineering
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Mohammad Syawaludin Syafiq, Hassan The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
description	One of the factors that often leads to traffic congestion in cities is traffic lights at a road intersection. Customarily, traffic lights are pre-programmed with fixed timers and does not consider vehicle intensity at intersections. It does not have an intelligent sensor to self-learn the road conditions and number of vehicles so that the controller will react based on the traffic information at a particular intersection. Furthermore, emergency vehicles such as ambulance, fire engines and police cars, also face similar problems whenever they reach a traffic light. It is difficult to those emergency vehicles to bypass the congested traffic at traffic lights due to unintelligent traffic light system. Moreover, present smart traffic light system requires to adapt with new algorithms and technologies, for instance vision sensors that are able to detect emergency vehicles that needs to pass by a traffic light. In the future, it is expected that the detection from a tracking algorithm will automatically switch the traffic light signals based on the road conditions. In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. Through the combination of two color space, the tracking algorithm can detect the ambulance with higher percentage of detection and is insensitive to the varying illumination of sun light. HSV color space and RGB color has been used to analyze the light of the emergency vehicle as well as a feature for classification. By the combination of morphological approach to select the region of interest, the tracking algorithm delivers promising results as the tracking algorithm achieved 90% of ambulance detection at road intersections.
format	Thesis
qualification_level	Master's degree
author	Mohammad Syawaludin Syafiq, Hassan
author_facet	Mohammad Syawaludin Syafiq, Hassan
author_sort	Mohammad Syawaludin Syafiq, Hassan
title	The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
title_short	The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
title_full	The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
title_fullStr	The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
title_full_unstemmed	The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
title_sort	development of a tracking algorithm for ambulance detection using squaring of rgb and hsv color processing techniques
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Electrical and Electronics Engineering
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/16338/19/The%20development%20of%20a%20tracking%20algorithm%20for%20ambulance%20detection%20using%20squaring%20of%20RGB%20and%20HSV%20color%20processing%20techniques.pdf
_version_	1783732007368392704

The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques

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