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Removing Shadows and Ghosts with an Improved Background Mixture Model

机译:使用改进的背景混合模型去除阴影和鬼影

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We describe an improved background mixture model to detect motion and remove illumination changes, shadows and ghosts. The shadows and ghosts detection processing is fused with updating background subtraction model after the frame is transformed to Hue Saturation Value (HSV) color space from Red Green Blue (RGB) color space in order to reduce the effect of illumination changes, shadows and ghosts. Compared with the traditional background mixture model, the improved method can avoid the bad effect of shadows and ghosts, and it is highly computationally cost effective.
机译:我们描述了一种改进的背景混合模型,用于检测运动并消除照明变化,阴影和重影。将帧从红绿蓝(RGB)颜色空间转换为色相饱和度值(HSV)颜色空间后,阴影和鬼影检测处理与更新的背景扣除模型融合在一起,以减少照明变化,阴影和鬼影的影响。与传统的背景混合模型相比,改进的方法可以避免阴影和重影的不良影响,并且在计算上具有很高的成本效益。

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