基于视频监控的运动图像检测算法研究

Research on the Movement Image Detection Algorithm Based on Video Monitoring

运动图像的检测是目前智能监控技术发展的前沿技术,能够成功地将运动目标从背景图像中检测出来是该智能监控识别系统最关键的一步。文章将传统的图像处理方法运用在运动对象上,通过实验比较,分析背景差分法、光流法和帧间差分法的优点和缺点,为视频监控下的图像缺陷检测或智能识别技术提供一定的参考。

Movement image detection is the introduction of the development of technology,Intelligent monitoring technology can successfully detect moving target from the background image is the most key step of the intelligent monitoring recognition system.In this paper,the traditional image processing methods used in motion objects,through comparing the experimental comparison,analysis of the advantages and disadvantages about the background difference method,optical flow method and frame difference method,using in video surveillance images under defect detection or intelligent recognition technology to provide certain reference.