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Study of Motion Detection Technology Based on Davinci Platform

机译:基于Davinci平台的运动检测技术研究

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A motion object detection method is presented based on Davinci platform. This paper adopts color histogram algorithm to detect moving target, which is operated on TMS320DM6446. In continuous frames, probability distributions of both foreground pixel and background pixel are counted separately to build color histogram. Background probability can be computed based on gauss model. After background separation, we can use median filtering to suppress image noise, detect connected domain, converge foreground pixels to make up of moving object regions and mark them. The results show that the method presented has good accuracy and quick speed for realtime application.
机译:基于Davinci平台介绍了运动对象检测方法。本文采用彩色直方图算法来检测移动目标,可在TMS320DM6446上运行。在连续框架中,前景像素和背景像素的概率分布分别计数以构建颜色直方图。背景技术可以基于高斯模型计算。在背景隔离后,我们可以使用中值过滤来抑制图像噪声,检测连接域,收敛到前景像素以组成移动对象区域并标记它们。结果表明,所呈现的方法具有良好的准确性和快速速度来实时应用。

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