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Vision-based frontal vehicle detection and tracking

Lim, King Hann and Seng, Kah Phooi and Ang, Li-Minn and Chin, Siew Wen (2009) Vision-based frontal vehicle detection and tracking. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur.

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This paper presents a vision-based driver assistance system composing of vehicle detection using knowledge-based method and vehicle tracking using Kalman filtering.First, a preceding vehicle is localized by a proposed detection scheme, consisting of shadow detection and brake lights detection.Second, the possible vehicle region is extracted for verification. Symmetry analysis includes contour and brake lights symmetries are performed and followed by an asymmetry contour analysis in order to obtain vehicle’s center.The center of vehicle is tracked continuously using Kalman filtering within a predicted subwindow in consecutive frames.It reduces the scanning process and maximizes the computational speed of vehicle detection. Simulation results demonstrate good performance of the proposed system.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983--44150-2-0 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords: Vehicle Detection, Vehicle Tracking, Intelligent Vehicle and Driver Assistance System
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 01 Apr 2015 03:28
Last Modified: 01 Apr 2015 03:28
URI: http://repo.uum.edu.my/id/eprint/13470

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