A Novel Accurate Localization Method of Vehicle-logo
- https://doi.org/10.2991/icmmita-15.2015.295How to use a DOI?
- Vehicle-logo; Accurate localization; Gradient angle histogram analysis; Local self-adaptive threshold.
Aiming at the problem lied in existed methods which cannot suppress grille background completely, a novel method of vehicle-logo accurate localization was proposed. Firstly color invariants and prior information are used for fast localizing license plate in RGB color space directly; and then process fine localization of the vehicle-logo based on coarsely localized results. Background noises are secondarily suppressed based on gradient angle histogram analysis and local self-adaptive threshold treatment. Numerous experiments show that this method possesses not only high accuracy but also high robustness in localization, as compared to classic template matching. Besides, the proposed method satisfies the requirement of real-time performance.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jin Liu AU - De Cai AU - Zhonghan Shi AU - Jiahao Deng PY - 2015/11 DA - 2015/11 TI - A Novel Accurate Localization Method of Vehicle-logo BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 1593 EP - 1598 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.295 DO - https://doi.org/10.2991/icmmita-15.2015.295 ID - Liu2015/11 ER -