中文摘要：

该文提出了一种基于混合模型的视频行人检测算法,该算法首先运用多帧平均值背景提取法获得视频背景;然后,视频场景中某一幅图片减去背景图片获取运动行人图像;最后,运用混合模型的学习算法检测行人并估计行人个数,仿真试验结果证明该文算法的有效性。

英文摘要：

In this paper, we proposed an algorithm to detect pedestrians from a video scene using finite mix- ture models（FMM）. We first derived the background image from the video by averaging multiple frames and then subtracted the background from certain video scene to derive the moving pedestrians. Finally, we impor- ted a learning method of the FMM to detect the pedestrians and estimate the number of pedestrians from the parameters of the FMM. The final result showed the performance of the proposed algorithm.