计算机科学 ›› 2018, Vol. 45 ›› Issue (6): 291-295.doi: 10.11896/j.issn.1002-137X.2018.06.051
陈嵘, 李鹏, 黄勇
CHEN Rong, LI Peng, HUANG Yong
摘要： 对视频监控中的运动阴影问题进行了研究,提出一种颜色特征、归一化向量距离、亮度比值相融合的阴影去除方法。首先,通过混合高斯模型建立背景图像,利用背景差分法分离运动区域。然后,采用串行处理方法检测运动区域中的阴影像素。在RGB颜色空间下根据颜色一致性特征消除阴影之后,根据运动区域的归一化向量距离分布直方图进一步检测阴影像素。最后,针对阴影检测过程中存在的误检问题,建立像素的光照模型,计算阴影像素与背景像素的亮度比值,并根据置信区间排除误检的前景像素。实验结果表明,该方法能够克服单特征方法的局限性,在多个真实场景下能有效检测与去除阴影,适应性强,鲁棒性好,处理时间适中。
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