海军航空工程学院学报2016，Vol.31Issue(4)：437-441,5.DOI:10.7682/j.issn.1673-1522.2016.04.006
帧差法和Mean shift算法融合的高速无人机目标跟踪
Fusion Algorithm of Frame Difference and Mean Shift for High-Speed UAVs’Tracking
摘要
Abstract
In order to track high-speed UAVs in real time, the visual tracking algorithms need to satisfy the requirements of accuracy and rapidity. In this paper, a fusion algorithm was presented that combined the advantages of two typical algo⁃rithms, frame difference and Mean shift. The two algorithms were run simultaneously the frame difference was used for rap⁃id tracking, while Mean shift was used for improving the precision of the tracking of frame difference. To get more precise tracking, the Kalman filter was used to compensate the displacement of UAVs moving during the implement of the tracking algorithm. The effectiveness of fusion algorithm was illustrated by a simulation example in Matlab environment.关键词
无人机/目标跟踪/帧差法/Mean shift算法/融合算法Key words
UAV/object tracking/frame difference/Mean shift algorithm/fusion algorithm分类
电子信息工程引用本文复制引用
王宜贤,石德乐,杨宁..帧差法和Mean shift算法融合的高速无人机目标跟踪[J].海军航空工程学院学报,2016,31(4):437-441,5.基金项目
国家高技术研究发展计划（863计划）基金资助项目 （）
