Real-time tracking using level sets
Real-time tracking using level sets
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DOI：
10.1109/cvpr.2005.294
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发表时间：
2005-06
期刊：
影响因子：
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通讯作者：
Yonggang Shi;W. C. Karl
中科院分区：
文献类型：
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作者：
Yonggang Shi;W. C. Karl
在本文中，我们提出了一种新的实现水平集方法，实现实时水平集为基础的视频跟踪。在我们的快速算法中，曲线的演变是通过简单的操作，如两个链表之间的切换元素，有没有必要解决任何偏微分方程。此外，一个新的程序的基础上，高斯滤波引入到边界光滑正则化。通过用这种新的平滑过程代替标准曲线长度惩罚，获得了进一步的加速。我们的快速算法的另一个优点是，可以很容易地控制曲线的拓扑结构。对于多个对象的跟踪，我们扩展了我们的快速算法，以保持所需的拓扑结构的基础上，从离散拓扑结构的多个对象的边界。使用我们的快速算法，实时系统已在标准PC上实现，并且只有一小部分CPU功率用于跟踪。标准测试序列和我们的实时系统的结果。
In this paper we propose a novel implementation of the level set method that achieves real-time level-set-based video tracking. In our fast algorithm, the evolution of the curve is realized by simple operations such as switching elements between two linked lists and there is no need to solve any partial differential equations. Furthermore, a novel procedure based on Gaussian filtering is introduced to incorporate boundary smoothness regularization. By replacing the standard curve length penalty with this new smoothing procedure, further speedups are obtained. Another advantage of our fast algorithm is that the topology of the curves can be controlled easily. For the tracking of multiple objects, we extend our fast algorithm to maintain the desired topology for multiple object boundaries based on ideas from discrete topology. With our fast algorithm, a real-time system has been implemented on a standard PC and only a small fraction of the CPU power is used for tracking. Results from standard test sequences and our realtime system are presented.