Multi-component vehicle type recognition using adapted CNN by optimal transport
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-02042-w.pdf
Reference26 articles.
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3. Manzoor, M.A., Morgan, Y.: Vehicle make and model classification system using bag of sift features. In 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), pages 1–5. IEEE, (2017)
4. Lee, S.H, Bang, M.S., Jung, K.H., Yi, k.: An efficient selection of hog feature for svm classification of vehicle. In: 2015 International Symposium on Consumer Electronics (ISCE), pages 1–2. IEEE, (2015)
5. Neumann, D., Langner, T., Ulbrich, F., Spitta, D., Goehring, D.: Online vehicle detection using haar-like, lbp and hog feature based image classifiers with stereo vision preselection. In: 2017 IEEE Intelligent Vehicles Symposium (IV), pages 773–778. IEEE, (2017)
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