摘要
卡尔曼滤波(Kalman)是一种根据时变随机信号的统计特性,对信号的未来值做出尽可能接近真值的一种估计方法.首先对卡尔曼滤波进行介绍,然后阐述了它在视频监控技术中的运动目标检测和运动目标跟踪两个方面的应用.
Kalman Fiher is a method to estimate the future state of a process based on the statistic character of temporal process, in a way that minimizes the mean of the squared error. The paper gives the description of Kalman filter firstly, and presents its application in moving object detection and tracking in video surveillance.
出处
《浙江水利水电专科学校学报》
2007年第2期78-80,共3页
Journal of Zhejiang Water Conservancy and Hydropower College
基金
浙江水利水电专科学校校科研基金项目(XK2006-12)
关键词
卡尔曼滤波
视频监控
目标检测
目标跟踪
Kalman filter
video surveillance
moving object detection
object tracking
