计算机与数字工程2017，Vol.45Issue(7)：1313-1317,5.DOI:10.3969/j.issn.1672-9722.2017.07.016
水上运动船舶的检测与跟踪
Detection and Tracking of Moving Target of Aquatic Vessels
摘要
Abstract
Based on the Gaussian mixture model and aim at to solve the shortage of detection at present,this paper main idea is using improved gaussian mixture model to detectact target and then adopting the method of combining Kalman filter prediction and Camshift search algorithm.During tracing,first the movement of the target is predicted by using the Kalman filter,and based on this the position is searched by using the Camshift.At last,the results of the experiment apply in detection and tracking of aquatic vessels.Not only the adaptability of the model is improved,and moving target tracking speed and accuracy are improved further.关键词
混合高斯模型/Kalman预测/CamshiftKey words
Gaussian mixture mode/Kalman filter prediction/Camshift分类
信息技术与安全科学引用本文复制引用
蔡丹,段先华,高海壮..水上运动船舶的检测与跟踪[J].计算机与数字工程,2017,45(7):1313-1317,5.基金项目
“江苏高校高技术船舶协同创新中心/江苏科技大学海洋装备研究院”(编号:HZ2016021)资助. （编号:HZ2016021）
