Road enforcement monitoring system based on vehicle type recognition using sparse filtering convolutional neural network with layer skipping strategy (SFCNNLS)

• Main Authors: Suryanti, Awang, Nik Mohamad Aizuddin, Nik Azmi, Ngahzaifa, Ab. Ghani
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. (IEEE) 2019
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/24574/1/10.%20Road%20enforcement%20monitoring%20system%20based%20on%20vehicle.pdf; http://umpir.ump.edu.my/id/eprint/24574/2/10.1%20Road%20enforcement%20monitoring%20system%20based%20on%20vehicle.pdf; http://umpir.ump.edu.my/id/eprint/24574/; https://doi.org/10.1109/IEA.2019.8715122

Road Enforcement Monitoring System (REMS) is one of the traffic monitoring systems to monitor the enforcement of a specific route for public transportation in cities. The aim of this system is to automatically and efficiently monitor the enforcement to ensure it is adhered by the traffic users. This...