Machine vision for traffic violation detection system through genetic algorithm

• Main Authors: Uy, Aaron Christian P., Bedruz, Rhen Anjerome, Quiros, Ana Riza, Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2016
• Subjects: Computer vision; Traffic violations; Intelligent transportation systems; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2093; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3092/type/native/viewcontent
• Institution: De La Salle University

This paper presents a machine vision algorithm to detect traffic violations specifically swerving and blocking the pedestrian lane. The proposed solution consists of background difference method, and focuses on the genetic algorithm of the system to detect these violations. The general process is as...