摘要
A real-time tracking system for the fast moving object on the complex background is proposed.The Markov random filed（MRF）model based background subtraction algorithm is used to detect the changing pixels and track the moving object.The prior probability of the segmentation mask is modeled by using MRF,and the object tracking task is translated into the maximum a-posterior（MAP）problem.Experimental results show that the method is efficient at both offline and online moving objects on simple and complex background.
提出了适用于跟踪在复杂背景下快速移动目标的实时跟踪系统。利用基于马尔可夫场模型的背景减除算法检测像素变化,以跟踪移动目标。分割掩膜的先验概率用马尔可夫场模型来表示,因此目标跟踪任务即被转化成最大后验问题。实验结果表明,本文算法在简单背景或复杂背景下的离线和在线移动目标跟踪方面均有较好的效果。
