计算技术与自动化2017，Vol.36Issue(4)：80-83,4.
结合Kalman滤波器的SIFT目标跟踪算法
SIFT Tracking Algorithm Combined with Kalman Filter
摘要
Abstract
Target image extraction and matching image tracking larger feature vectors,It is difficult to meet the requirement of accuracy and rapidity,when extracting the eigenvectors to be matched during the target image tracking.A SIFT target tracking algorithm based on Kalman filter is proposed.The algorithm makes use of the Kalman filter to identify the dynamic target in the next frame image,which can be used to identify the dynamic object in the adaptive window.Experiments show that the proposed algorithm can shorten the time of SIFT feature points extraction and improve the efficiency of target tracking.关键词
尺度不变特征变换算法/卡尔曼滤波/目标识别/特征点提取Key words
scale invariant feature transform(SIFT)/Kalman filter/object recognition/feature point extraction分类
信息技术与安全科学引用本文复制引用
任静..结合Kalman滤波器的SIFT目标跟踪算法[J].计算技术与自动化,2017,36(4):80-83,4.基金项目
陕西省教育厅专项科研计划项目(15JK1379) （15JK1379）
