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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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
Industrial Engineering and Applications Organization
2021
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| Subjects: | |
| 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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