Vehicle counting system based on vehicle type classification using deep learning method

• Main Authors: Suryanti, Awang, Nik Mohamad Aizuddin, Nik Azmi
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Verlag 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/20567/1/80.%20Vehicle%20Counting%20System%20based%20on%20Vehicle%20Type%20Classification%20using%20Deep%20Learning%20Method.pdf; http://umpir.ump.edu.my/id/eprint/20567/2/80.1%20Vehicle%20Counting%20System%20based%20on%20Vehicle%20Type%20Classification%20using%20Deep%20Learning%20Method.pdf; http://umpir.ump.edu.my/id/eprint/20567/
• Institution: Universiti Malaysia Pahang

Vehicle counting system (VCS) is one of the technologies that able to fulfil the ITS aim in providing a safe and efficient road and transportation infra-structure. This paper is aimed to provide a more accurate VCS based on vehicle type classification method rather than current implementation in exi...