基于窗口的Surf目标跟踪

Fast Surf object tracking based on window

为解决Sift在目标跟踪中实时性不高的问题,提出了基于窗口的Surf目标跟踪方法.相比Sift目标跟踪,快速鲁棒尺度不变Surf在速度上有了一定的提高.为进一步提高算法的实时性,只对视频图像中包含目标的局部窗口提取Surf特征点.利用特征点之间的相对信息,采用仿射变换方法计算跟踪目标窗口的大小,并获得目标的大致位置信息,最后使用Kalman滤波器对窗口大小和位置信息平滑处理.实验结果表明,该方法在提升速度的同时,对目标发生尺寸变化及旋转等情况时能准确地跟踪物体.

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.