Moving object which is monitored in video moves randomly, more over the kalman filtering that can only solve problems which are Gaussian and linear is not an ideal choice, so we study the particle filter algorithm which can solve the problem of nonlinear and non-Gaussian. 鉴于监控视频下目标运动的随机性大的特点,只能解决高斯线性问题的卡尔曼滤波不是一个理想的解决方法,所以本文把研究重点放在了能解决非线性非高斯问题的粒子滤波算法。