作者
Kai Zhou, Karthik Mahesh Varadarajan, Markus Vincze, Fuqiang Liu
发表日期
2012/9/16
研讨会论文
2012 15th International IEEE Conference on Intelligent Transportation Systems
页码范围
1396-1401
出版商
IEEE
简介
Vehicle logo detection is of great importance in Intelligent Transportation System (ITS) applications since it augments the traditional License Plate Recognition (LPR) based vehicle identification solutions. An algorithm based on the combination of feature appearance and symmetry is proposed to locate the vehicle logo in a digital image. The air-intake grille, as the most recognizable visual structure in the front view of the vehicle, can be efficiently detected and recognized thereby providing information about relative position of vehicle logos. Symmetry, a widely used feature for analyzing vehicle front-view images, has also been taken into consideration along with grille detection in this paper. This hybrid scheme facilitates more accurate vehicle logo detection rate in comparison with using isolated symmetry (which performs poorly on scenes with complex background) or edge statistics (which cannot handle non/small …
引用总数
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K Zhou, KM Varadarajan, M Vincze, F Liu - 2012 15th International IEEE Conference on Intelligent …, 2012