基于扩展目标的不变矩跟踪算法

 提出基于边缘区域的不变矩计算方法，在此基础上，针对在运动中形状、尺寸和方位不断变化的扩展目标，提出一种以不变矩作为跟踪特征，粗、精阶段相结合的相关跟踪算法，并根据目标图像的相关性给出一种新的跟踪置信度。实验结果显示算法迅速、有效、匹配精度高，对于复杂背景，较强噪声和运动状态发生变化条件下的扩展目标跟踪稳定可靠。

Moment invariants tracking algorithm for extended target

This paper describes a new tracking algorithm for extended target moving in complex conditions. The moment invariants are chosen as the tracking feature since the size, shape and orientation of the extended target would change distinctly during the moving period. The moment invariants are calculated based on edge region of the local target, through which the computation quantity is reduced drastically. Utilizing these moment invariants, a new rough-precise stages correlation tracking algorithm is proposed, in which the multistage and subsample are adopted to reduce the matching time. In addition, the new creditability evaluation is given by the correlativity of the sequence images, according to that, the method of template correction is established. Experimental results indicate the validity and stability of our method of tracking the extendal target with complex states in complex condation.