摘要
为了实现对运动物体的追踪,结合ViBe(背景提取算法)对视频首帧进行样本集建立,通过像素级别的逐帧判断,将前景与背景进行了分离,进行形态学处理之后利用卡尔曼滤波对分离后的结果进行运动物体追踪和标记。基于Matlab通过视频处理实验验证了可行性,可以在机器视觉、视频监测处理领域有所应用。
In order to realize the tracking of moving objects, the first frame of video is used to form the Sample Set with the ViBe (visual background extractor) which uses the frame by frame judgment at the pixel level to separate the foreground and background. After the morphological processing, Kalman Filter is used to track and mark the multiple objects and Matlab is used to realize the algorithm. The feasibility is verified by video processing experiment, which can be applied in machine vision and video monitoring and processing.
作者
陈越
CHEN Yue(Putian University,Putian,Fujian 351100,China;Fujian Laser Precision Machining Engineering Technology Research Center,Putian,Fujian 351100,China)
出处
《龙岩学院学报》
2019年第2期7-13,共7页
Journal of Longyan University
基金
2018年莆田学院校内科研项目(2018018)
关键词
背景提取算法
形态学处理
卡尔曼滤波
视频处理
visual background extractor algorithm
morphological processing
Kalman Filter
video processing
