000			02990ntm a2200289 a 4500
001			vtls000098256
003			KUKTEM
005			20251117113340.0
008			161205s2016 my da f abm 000 0 eng d
020			_aTHE0005208(Local)
039		9	_a201905141143 _bhanafiah _c201710090940 _daishah _y201612051043 _zsaini
040			_aUMP
090			_aFKEE .S93 2016 r Thesis
100	0		_aMohammad Syawaludin Syafiq Hassan
245	1	4	_aThe development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques / _cMohammad Syawaludin Syafiq Hassan
260			_aKuantan, Pahang : _bUMP, _c2016
300			_axv, 163 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
500			_aFaculty of Electrical and Electronics Engineering
502			_aThesis (Master of Engineering in Electronics) -- Universiti Malaysia Pahang – 2016
504			_aBibliography : p. 95-98
520	3		_aOne 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.
610	2	0	_aFaculty of Electrical and Electronics Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/3495/ _zLibrary access only
999			_aVIRTUA40 _c7165 _d7171
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992