随着计算机视觉技术在图像处理与模式识别中应用的不断深入，人体 运动目标检测逐渐成为了备受人们关注的热点问题。提出了一种改进的人体运动目标检测算法。 用中值法提取了图像的背景，然后通过结合背景差分法和帧间差分法处理图像得到了运动目标区域。试验结果 表明，该方法可克服单种算法所带来的缺陷，同时还具有较高的准确性，且满足工程实时性的需 求。本文算法简单有效，适合应用在嵌入式平台上。

With the increasing development of computer vision technology in the application field of image processing and pattern recognition, the detection of moving human targets has become a hot focus attracting more attention gradually. An improved moving human target detection algorithm is proposed. The background is extracted in an image by a median method. Then, the moving target region is obtained by combining the background subtraction with the frame difference in the processing of the image. The experimental results show that the algorithm can overcome the defect brought by a single algorithm. It has a higher accuracy and meets the real-time requirements in engineering application. Since the algorithm is simple and effective, it is suitable for embedded platforms.