以多目标优化的轮廓定位分割视频对象

宋立锋; 韦岗; 王群生

以多目标优化的轮廓定位分割视频对象

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出版历程
- 收稿日期: 2000-11-24
- 修回日期: 2002-03-25
- 刊出日期: 2002-11-19

Segment video objects by contour locating of multiobjective optimization

摘要

摘要: 该文提出一种用于半自动分割视频对象的对象跟踪方法,它以方块均方色差和图像像素边缘强度构造目标函数,把对象轮廓点的运动估值和补偿表达为用带容错的分层排序法实现多目标优化,从而确定与参考帧对象轮廓点对应的当前帧像素为轮廓点;以边缘强度最大为目标将这些轮廓点连接成闭合曲线,从而得到当前帧的对象分割掩膜,用这种方法处理多个视频测试序列得到满意结果。
- 视频对象分割; 半自动视频对象分割; 对象跟踪; 多目标优化; 运动估值和补偿
Abstract: An object tracking method for semiautomatic video object segmentation is proposed in this paper. An objective function is constructed with mean square color error of blocks and edge strength of pixels. Then a multilevel ordering method with permissive error is used to accomplish the programming of this objective function so as to realize motion estimation and compensation of contour pixels. Thus the pixels in the current frame, which correspond to the contour pixels in the reference frame, are found out. As the contour pixels in the current frame, these pixels are connected to form a close curve by an objective of maximal edge strength. Thus the segmentation mask of the current frame is generated. The experimental results of this method on several test sequences are satisfactory.

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参考文献(1)

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