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Semi-automatic semantic video object extraction by active contour model

机译:基于主动轮廓模型的半自动语义视频对象提取

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An algorithm to extract the semantic video object in the first frame of a video sequence is proposed. The extracted closed object contour provides an accurate video object model for automatic object extraction in the following frames. Two polygons are input by the user to specify the area in which the object boundary is located. Based on this, edges which belong to the video object of interest are selected by a local object contour model. Then an active contour model (snake) is applied to refine the closed object contour.
机译:提出了一种在视频序列的第一帧中提取语义视频对象的算法。提取的闭合对象轮廓为以下帧中的自动对象提取提供了精确的视频对象模型。用户输入两个多边形以指定对象边界所在的区域。基于此,由本地对象轮廓模型选择属于感兴趣的视频对象的边。然后应用活动轮廓模型(Snake)以优化闭合物体轮廓。

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