Motion detection of vehicles based on FPGA

G. Menezes, A. Silva-Filho
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引用次数: 13

Abstract

In this paper a hardware approach for evaluating motion detection of vehicles on transit roads was proposed. A motion detection method is used through computational vision with a fixed camera which is based on the difference between the current image and a reference image of the environment that is being monitored. Results are compared with a software approach in order to validate and show the effectiveness of a hardware approach. Experiments based on real vehicle images in roads were performed and results are 7.5 times faster by using a reconfigurable hardware approach as compared to the same application in a software approach. The results were also compared with another hardware approach for motion detection and a performance improvement of about 66% was observed in the image processing.
基于FPGA的车辆运动检测
本文提出了一种评价交通道路上车辆运动检测的硬件方法。一种基于被监测环境的当前图像和参考图像之间的差异,通过固定摄像机的计算视觉使用运动检测方法。结果与软件方法进行了比较,以验证和显示硬件方法的有效性。基于道路上的真实车辆图像进行了实验,使用可重构硬件方法的结果比使用软件方法的结果快7.5倍。结果还与另一种用于运动检测的硬件方法进行了比较,在图像处理中观察到大约66%的性能改进。
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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