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Vehicle tracking and speed estimation system / Chan Chia Yik

By:

Chan, Chia Yik

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2012Description: xiv, 56 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0002940(Local)

Subject(s):

Image processing -- Digital techniques

Dissertation note: Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012 Abstract: This project is intends to develop a vehicle tracking and speed estimation using digital image processing technique. Therefore this project needs a video input to make the system work. The system is designed to track the vehicle position and calculate its moving speed. The method that uses to estimate the speed of the moving vehicle currently is RADAR (Radio Detection and Ranging). But this method requires high end equipment, which means the cost for this method is high. Therefore an alternative way is needed. This proposed method is using the image processing technique. This system consists of 4 major steps: 1) image acquisition 2) image background subtraction 3) location detection 4) speed estimation. The rate of accuracy for this system is expected to have 99%.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB GAMBANG	TA1637 .C43 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000068767
Final Year Report	UMPLIB GAMBANG	CD 6565 \| TA1637 .C43 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000068768

Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012

Bibliography : p. 52-54

This project is intends to develop a vehicle tracking and speed estimation using digital image processing technique. Therefore this project needs a video input to make the system work. The system is designed to track the vehicle position and calculate its moving speed. The method that uses to estimate the speed of the moving vehicle currently is RADAR (Radio Detection and Ranging). But this method requires high end equipment, which means the cost for this method is high. Therefore an alternative way is needed. This proposed method is using the image processing technique. This system consists of 4 major steps: 1) image acquisition 2) image background subtraction 3) location detection 4) speed estimation. The rate of accuracy for this system is expected to have 99%.