An early warning system based on Motion History Image for blind spot of oversize vehicle

Hong Zhou, Wei Shu
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Abstract

Recently, because of the blind spot of oversize vehicle, accident happened repeatedly when the vehicle turned right. Therefore, to solve the problem, an embedded system based on computer vision technology which can early warn driver is proposed. Capture image with CCD camera, extract the background by using background subtraction, and build background model by the way of weighted average. After that, obtain all the moving area with MHI(Motion History Image), and sign the areas which are gathered. Then it would warn by judge whether or not the signed area in the warning area.
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基于运动历史图像的超大型车辆盲点预警系统
近年来,由于特大型车辆的盲区问题,车辆右转时有事故发生。为此,提出了一种基于计算机视觉技术的嵌入式驾驶员预警系统。采用CCD相机采集图像,采用背景相减法提取背景,采用加权平均法建立背景模型。然后用MHI(Motion History Image)获取所有的运动区域,并对采集到的区域进行签名。然后通过判断标识区域是否在警示区域内进行警示。
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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