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Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours

机译:使用粒子滤波跟踪几何活动轮廓的变形对象

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Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape, but these are dependent on the chosen parametrization and cannot handle changes in curve topology. Geometric active contours provide a framework which is parametrization independent and allow for changes in topology. In the present work, we formulate a particle filtering algorithm in the geometric active contour framework that can be used for tracking moving and deforming objects. To the best of our knowledge, this is the first attempt to implement an approximate particle filtering algorithm for tracking on a (theoretically) infinite dimensional state space.
机译:跟踪变形的对象涉及估计对象的整体运动及其随时间的局部变形。对于形状的有限维表示,已经提出了使用卡尔曼滤波器或粒子滤波器的跟踪算法,但是这些算法依赖于所选的参数化,无法处理曲线拓扑的变化。几何活动轮廓提供了一个独立于参数化的框架,并允许拓扑发生变化。在本工作中,我们在几何活动轮廓框架中制定了一种粒子滤波算法,该算法可用于跟踪运动和变形的对象。据我们所知,这是首次尝试实现近似粒子滤波算法以在(理论上)无限维状态空间上进行跟踪。

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