摘要
序列图像的运动目标识别与跟踪是计算机视觉主要研究方向之一。研究的重点是要建立一个准确可靠的跟踪系统。针对此问题,传统的帧间差分法进行了改进,并研究了粒子滤波算法。在改进的帧间差分法和粒子滤波的基础上,提出了序列图像运动目标跟踪方法。实验实验表明,这种方法能够在目标被背景云彩遮挡的情况下,实现目标的可靠跟踪。
Moving object recognition and tracking based on sequence image is the one of major research directions in computer vision.The research emphasis is to build an exact and reliable tracking system.Aiming to this problem,the traditional inter-frame difference method is improved,and combined with particle filter algorithm.A new sequence image moving object tracking method based on the improved inter-frame difference method and particle filter is proposed.The experiment result indicates that the method can realize reliable object tracking under the condition of object shelved from background clouds.
出处
《火力与指挥控制》
CSCD
北大核心
2012年第2期76-79,共4页
Fire Control & Command Control
关键词
帧间差分法
粒子滤波
目标跟踪
inter-frame difference method
particle filter
object tracking
