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Model-Based Video Object Contour Tracking

机译:基于模型的视频对象轮廓跟踪

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摘要

This paper presents an object contour tracking method using the object shape model. First,we detect the change of background luminance ratio outside the bounding box of object. Second, the temporal segmentation is obtained by mesh based motion activity detection. A new combined mask is composed of temporal segmentation result and shape model by OR operation. Finally,for modification of the mask,we detect the non-matching points v.ith local gradient along the boundary of combined mask in a counting window. And the MSE is calculated for the detection of the matching points. The video object contour will be obtained by the iterative algorithm.
机译:本文提出了一种利用物体形状模型的物体轮廓跟踪方法。首先,我们检测物体边界框外的背景亮度比率的变化。其次,通过基于网格的运动活动检测获得时间分割。一个新的组合蒙板由时间分割结果和通过或运算得到的形状模型组成。最后,为修改蒙版,我们在计数窗口中检测沿组合蒙版边界的不匹配点与局部梯度。并且计算MSE以检测匹配点。视频对象轮廓将通过迭代算法获得。

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