Vehicle Logo Recognition Using Proposed Illumination Compensation and Six Local Moments
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62814-6_12
Reference24 articles.
1. Zhao, J., Wang, X.: Vehicle-logo recognition based on modified HU invariant moments and SVM. Multimedia Tools and Applications. 78, 75–97 (2019). https://doi.org/10.1007/s11042-017-5254-0
2. Llorca, D.F., Arroyo, R., Sotelo, M.A.: Vehicle logo recognition in traffic images using HOG features and SVM. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. 2229–2234 (2013). https://doi.org/10.1109/ITSC.2013.6728559
3. Yu, Y., et al.: A multilayer pyramid network based on learning for vehicle logo recognition. IEEE Trans. Intell. Transp. Syst. 22, 3123–3134 (2021). https://doi.org/10.1109/TITS.2020.2981737
4. Yu, Y., Wang, J., Lu, J., Xie, Y., Nie, Z.: Vehicle logo recognition based on overlapping enhanced patterns of oriented edge magnitudes. Comput. Electr. Eng. 71, 273–283 (2018). https://doi.org/10.1016/j.compeleceng.2018.07.045
5. Lu, W., Zhao, H., He, Q., Huang, H., Jin, X.: Category-consistent deep network learning for accurate vehicle logo recognition. Neurocomputing 463, 623–636 (2021). https://doi.org/10.1016/j.neucom.2021.08.030
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