红外成像波门形心跟踪算法的误差分析

介绍了红外成像波门形心跟踪算法的原理，通过建立跟踪误差模型，讨论分析了红外成像波门形心跟踪算法的误差，当误判概率越小，波门内目标像素越多，背景像素越少时，形心跟踪误差越小；当信噪比越大，相关搜索的次数越少，相关运算的像素总数越多时，正确匹配系数越高。试验证明，该算法不仅能减小跟踪误差，而且能提高跟踪的精确度和稳定性。

Error analysis for gate centroid tracking algorithm of infrared imaging

The principle of a gate centroid tracking algorithm is introduced. Its tracking error model was established. The error of the gate centroid tracking algorithm in infrared imaging was discussed and analyzed. The centroid tracking error decreases when there is less misjudgment probability, more target pixels and fewer background pixels in the gate. The correct match coefficient increases when there is a greater SNR, fewer correlated searches and more pixels in correlated calculation. Test results show that the algorithm can reduce tracking error, improve tracking accuracy and stability.