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A moving target detection algorithm based on dynamic scenes

机译:基于动态场景的运动目标检测算法

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Due to the impact caused by background, shadow, change of illumination, moving speed and so on, detection of moving target fails easily with its anti-noise performance no well. In accordance with these problems, this paper proposes a novel moving target detection algorithm based on dynamic scenes. By the combination of five-image difference algorithm and background subtraction algorithm, a complete outline of moving target can be obtained after preprocessed by median filtering method. Moreover, through making use of rectangular contour model, the cast shadow of a moving target can be effectively removed. The results show that the algorithm can extract moving target from dynamic scenes more accurately and completely, with real-time guaranteed.
机译:由于背景,阴影,照明变化,移动速度等因素的影响,移动目标的检测很容易失败,其抗噪性能也不佳。针对这些问题,提出了一种基于动态场景的运动目标检测算法。通过五图像差分算法和背景减法算法的结合,经过中值滤波方法预处理后,可以获得运动目标的完整轮廓。而且,通过使用矩形轮廓模型,可以有效地去除移动目标的投射阴影。结果表明,该算法可以更准确,更完整地从动态场景中提取运动目标,并具有实时性。

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