基于模板匹配与线性预测的目标跟踪算法

为解决复杂场景中目标遮挡、算法鲁棒性差的问题, 提出基于模板匹配与线性预测的算法。该算法分为模板匹配和线性预测两部分。场景中无遮挡物时, 执行模板匹配算法, 获取目标跟踪信息; 否则, 通过预测算法估计目标的状态, 进而实现目标跟踪。实验结果表明, 在目标有遮挡干扰的情况下, 采用该算法能稳定、准确地实现目标跟踪, 与传统的模板匹配算法相比具有较强的鲁棒性。

Target Tracking Algorithm Based on Template Matching and Linear Prediction

In order to solve the complex object shelter in the scene and poor robustness, we put forward the algorithm based on template matching with linear prediction. The algorithm includes two parts, template matching and linear prediction. When there no obstructions in the scene, the executive part of template matches algorithm for geting target tracking information; otherwise, through the process of prediction algorithm to estimate the states of the target, and then to realize tracking. The results show that the method can track target accurately and stably for the target to keep out interference, comparing with the traditional template matching algorithm it has strong robustness.