Performance Evaluation between RGB and YCrCb in TC-SF-CNNLS for vehicle type recognition system

In this paper, the performance impact of vehicle type recognition (VTR) using Three-Channel of Sparse-Filtered Convolutional Neural Network with Layer-Skipping strategy (TC-SF-CNNLS) technique is observed. Unlike other techniques that lacking in extracting unique features, TC-SF-CNNLS able to extrac...

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Bibliographic Details

Main Authors:	Suryanti, Awang, Nik Mohamad Aizuddin, Nik Azmi
Format:	Conference or Workshop Item
Language:	en
Published:	Industrial Engineering and Applications Organization 2021
Subjects:	QA76 Computer software
Online Access:	https://umpir.ump.edu.my/id/eprint/32727/1/27.%20Performance%20Evaluation%20between%20RGB%20and%20YCrCb%20in%20TC-SF-CNNLS%20for%20vehicle%20type%20recognition%20system.pdf https://umpir.ump.edu.my/id/eprint/32727/ https://doi.org/10.1109/ICIEA52957.2021.9436723
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