安徽大学学报（自然科学版）Issue(4)：27-32,6.DOI:10.3969/j.issn.1000-2162.2014.04.005
基于窗口的 Surf 目标跟踪
Fast Surf object tracking based on window
摘要
Abstract
In order to solve the problem that the performance of Sift was not high in real-time, fast Surf object tracking based on window was proposed in this paper. Compared with Sift, Surf had a more improvement in computational efficiency. Further more, in order to improve the efficiency, the Surf features were extracted from local window that only contains the tracking object. Through utilizing the relative information among feature points and the affine transform, the size and position of the tracking window could be calculated. Finally, kalman filter was used to smooth information about the size and location. Experimental results showed that the proposed method could adapt to changes of scale and orientation of the tracking object when improving the computational efficiency.关键词
Sift/Surf/Kalman 滤波器/窗口/目标跟踪Key words
Sift/Surf/Kalman filter/window/tracking object分类
信息技术与安全科学引用本文复制引用
倪郁东,王晨..基于窗口的 Surf 目标跟踪[J].安徽大学学报（自然科学版）,2014,(4):27-32,6.基金项目
国家自然科学基金资助项目(60835001) （60835001）
