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Motion-Based Boundary Tracking of Moving Object Using Parametric Active Contour Model

机译:基于参数主动轮廓模型的运动对象基于运动的边界跟踪

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This paper presents a motion-based boundary tracking method for a moving deformable object in an image sequence using a parametric active contour model. Deciding the local converging directions of the contour points is essential for correctly extracting the boundary of a moving deformable object. Thus, a new energy function for a parametric active contour model is proposed based on the addition of a directional energy term using a frame difference map to the greedy snake. The frame difference map is used to obtain motion information on an object with fast and non-rigid motion. Plus, updating rules for the frame difference map are also developed to encourage the stable convergence of the contour points. Experiments on a set of synthetic and real image sequences show that the proposed method could fully track a speedy deformable object while exactly extracting the boundary of the object in every frame.
机译:本文提出了一种基于运动的边界跟踪方法,该方法使用参数主动轮廓模型对图像序列中的可变形对象进行运动。确定轮廓点的局部会聚方向对于正确提取移动的可变形对象的边界至关重要。因此,基于使用贪婪蛇的帧差异图添加定向能量项,提出了用于参数化主动轮廓模型的新能量函数。帧差图用于获取具有快速和非刚性运动的对象的运动信息。另外,还开发了帧差异图的更新规则,以鼓励轮廓点的稳定收敛。对一组合成图像和真实图像序列进行的实验表明,该方法可以完全跟踪快速变形的物体,同时准确地提取每一帧中物体的边界。

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