基于部分图像的车辆识别

2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA) Pub Date : 2016-07-13 DOI:10.1109/ACTEA.2016.7560146

Salwan M. Alwan, Mohamad El-Abed, R. Zantout

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引用次数: 0

摘要

车辆识别非常重要，可用于许多安全应用。为此，本文提出了一种基于SIFT特征的车辆识别系统，并利用支持向量机对车辆进行分类。图片的基准(宝马和奔驰)被用来阐明所提出的方法的好处。

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Vehicles recognition from partial images

Vehicles recognition is important and can be used in many security applications. Towards this goal, we present in this paper a vehicles recognition system based on SIFT features and the use of SVM to classify the types of cars. A benchmark of pictures (BMW and Mercedes) was used to clarify the benefits of the proposed method.

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2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)

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