Vehicle classification using AKAZE and feature matching approach and artificial neural network

• Main Authors: Bedruz, Rhen Anjerome R., Fernando, Arvin, Bandala, Argel A., Sybingco, Edwin, Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Computer vision; Image registration; Image processing—Digital techniques; Neural networks (Computer science); Electrical and Computer Engineering; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1540; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2539/type/native/viewcontent
• Institution: De La Salle University

This research proposes a method in order to classify vehicles in a highly congested roads , a robust technique for vehicle classification with low computational power must be used. So, a proposed solution is to embed an AKAZE feature matching extraction which is ran in an artificial neural network w...