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首页> 外文会议>2017 5th International Conference on Electrical, Electronics and Information Engineering >Real time moving object extraction based on area filling
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Real time moving object extraction based on area filling

机译：基于区域填充的实时运动目标提取

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摘要

Moving object extraction is the first task for motion detection and recognition. It usually is performed from several frames to distinguish foreground from the background. In this paper we developed a simple extraction method which was suitable for real time application. First, we performed moving object detection by using frames subtraction. This yielded edge label in the motion area. This edge label couldn't extract the whole moving object. To extract the whole moving object, we performed filling operation followed by intersection and union operation to fill the area within the label. The experimental result, our system can extract the moving object in computation time of 116-296 ms, video rate of 15 frames per second (fps) and image frame size of 640×480 pixels, which is suitable for real time application.
机译：运动对象提取是运动检测和识别的首要任务。通常从几个帧执行以区分前景和背景。在本文中，我们开发了一种适合实时应用的简单提取方法。首先，我们通过使用帧减法执行运动对象检测。这样就在运动区域中产生了边缘标签。此边缘标签无法提取整个运动对象。为了提取整个运动对象，我们执行了填充操作，然后执行交集和并集操作以填充标签内的区域。实验结果表明，我们的系统能够以116-296 ms的计算时间，每秒15帧的视频速率（fps）和640×480像素的图像帧大小提取运动对象，适合实时应用。

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