摘要
运动目标检测是将感兴趣的动态目标从图像背景中分割出来,主要应用于图像分析和目标跟踪中。该文主要介绍了几种常用经典运动目标检测算法,即基本差分法、高斯模型法和Ada boost检测算法原理,并给出了相应实验结果,最后总结了算法的应用场景和优劣性。
Moving object detection is to separate interested dynamic objects f rom image background,which is mainly used in image analysis and target tracking.In this paper,several classical moving object detection algorithms are introduced,including the basic difference method,the Gauss model method and the principle of Ada boost detection algorithm.The corresponding experimental results are given.Finally,the application scenarios and advantages and disadvantages of the algorithm are summarized.
出处
《科技资讯》
2019年第30期21-23,共3页
Science & Technology Information
