Road enforcement monitoring system based on vehicle type recognition using sparse filtering convolutional neural network with layer skipping strategy (SFCNNLS)
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc. (IEEE)
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24574/ http://umpir.ump.edu.my/id/eprint/24574/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/24574/http://umpir.ump.edu.my/id/eprint/24574/
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