通过亮度比例和运动模式精确分割运动物体及其阴影

Huan Huang, Shiying Li, Kai Tang, Renfa Li
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引用次数: 0

摘要

本文提出了一种两阶段分割单个或多个运动物体及其阴影的方法,特别是当运动物体与其阴影具有相似的色度和强度时,或者当运动物体沉浸在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来检测潜在的阴影,这些区域已经从图像序列的背景中分离出来。然后应用运动模式来优化移动对象及其阴影的区域。我们使用我们捕获的图像序列和高速公路I和II的公开视频进行了实验来验证我们的方法。结果表明,该方法与地面真值和几种先进方法相比,在定量和定性上都是有效的。
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Accurate segmentation of moving objects and their shadows via brightness ratios and movement patterns
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.
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