The representation of Bayesian tracking is given based on Markov hypothesis and Bayesian formula, and two of its common implementation methods are introduced in succession.
以马尔可夫假设和贝叶斯公式为基础，构建出递归贝叶斯跟踪的一般表达形式，并对其中两种较为常用的实现方法进行详细的介绍。
参考来源 - 基于粒子滤波的机器人视觉跟踪研究与实现·2,447,543篇论文数据，部分数据来源于NoteExpress
介绍了贝叶斯跟踪基本概念。
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
用贝叶斯方法求解目标跟踪问题，实质就是求状态的后验概率密度。
The Bayesian solution to the problems of target tracking is essentially to calculate the exact posterior density.
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