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Accurate segmentation of moving objects and their shadows via brightness ratios and movement patterns

机译:通过亮度比和运动模式准确分割运动对象及其阴影

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We present a two-stage method to accurately segment single or multiple moving objects and their shadows, especially when the moving objects have similar chromaticity and intensity to their shadows or when they are immersed in the shadows of other moving objects. Our algorithm first detects potential shadows via brightness ratios at each motion region, which is already separated from the background of an image sequence. Movement patterns are then applied to optimize the regions of moving objects and their shadows. We conducted experiments using our captured image sequences and public videos of Highway I and II to verify our method. The results demonstrate the method's efficiency quantitatively and qualitatively in comparison with ground truth and several advanced methods.
机译:我们提出一种分两步的方法来准确地分割单个或多个运动物体及其阴影,特别是当运动物体的色度和强度与其阴影相似或浸入其他运动物体的阴影中时。我们的算法首先通过每个运动区域的亮度比检测潜在的阴影,该区域已经与图像序列的背景分开了。然后应用运动模式来优化运动对象及其阴影的区域。我们使用捕获的图像序列以及高速公路I和II的公共视频进行了实验,以验证我们的方法。结果与地面实况和几种先进方法相比,从数量和质量上证明了该方法的有效性。

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