Vehicle detection and tracking using corner feature points and artificial neural networks for a vision-based contactless apprehension system

• Main Authors: Billones, Robert Kerwin C., Bandala, Argel A., Sybingco, Edwin, Gan Lim, Laurence A., Fillone, Alexis D., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2018
• Subjects: Intelligent transportation systems; Traffic monitoring—Equipment and supplies; Computer vision; Neural networks (Computer science); Mechanical Engineering; Transportation Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1931
• Institution: De La Salle University

Blocked intersections have been a contributing factor in the city-wide traffic congestion, especially in metropolitan cities. This research study aims to develop a better traffic violations management system in city-road intersections by using a machine vision system that automatically identifies an...