概率跟踪卡尔曼滤波和粒子滤波是这类方法的典型代表。
Kalman filter and particle filter is a typical representative of the probability tracking methods.
图像跟踪方法大致可分为两大类：概率跟踪方法和确定性跟踪方法。
Video tracking method can be divided into two categories:probabilistic tracking methods and deterministic tracking methods.
结合图像的灰度分布和空间布局，提出了一种基于灰度和空间信息的序列蒙特卡罗概率跟踪算法。
Incorporating intensity distribution and spatial layout, this paper proposes a sequential Monte Carlo probabilistic tracking algorithm using intensity and spatial information.
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