交通监控系统的实时车辆类型识别

2010 2nd International Conference on Information Technology Convergence and Services Pub Date : 2010-09-23 DOI:10.1109/ITCS.2010.5581270

Dariusz Król

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引用次数: 1

摘要

本文介绍了该系统的主要模块，实现了对车辆类型的有效识别。报名结果符合我们的预期。该系统在包含3500多张车辆图像的测试集上取得了良好的性能，与人类专家的测量结果相比，检测率约为93%。此外，它对时间、天气和光照条件的变化不敏感。该算法计算复杂度低，能够实时工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real-Time Vehicle Type Recognition for a Traffic Monitoring System

This paper presents the main modules of the system to efficiently recognize type of the vehicles. The entry results are in line with our expectations. The proposed system achieves good performances on a test set containing over 3500 vehicle images and the detection rate is about 93% when it was compared with the measurements done by a human expert. Moreover, it is not sensitive to variation in time, weather and light condition. The computational complexity is low and the algorithm can work in real time.

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2010 2nd International Conference on Information Technology Convergence and Services

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