基于相关和卡尔曼滤波的组合跟踪算法  

Combined Tracking Algorithm Based on Correlation and Kalman Filter

作　　者：程远 李亚聪 

机构地区：[1]国家光电实验室,湖北武汉430070

出　　处：《探测与控制学报》2014年第6期63-66,共4页Journal of Detection & Control

摘　　要：针对现有单一或组合跟踪算法对于复杂背景条件下高速红外目标跟踪稳定性较差的问题,提出了基于相关和卡尔曼滤波的组合跟踪算法。该算法改进了相关跟踪算法的模板设计,并将其计算的目标位置作为卡尔曼滤波观测量输入来修正和预测目标航迹。在多种复杂背景条件下的反复测试验证表明,该算法有较好的鲁棒性,实现了对目标的稳定跟踪,满足光电系统对高速红外目标跟踪稳定性的高要求。Aiming at the problem of poor tracking stability of electro-optical tracking system on the existing sin-gle or combined tracking algorithm for high-speed IR target in clutter background,a combined tracking algo-rithm based on correlation and Kalman filter was proposed.The correlation algorithm improved the design of target’s template,and input the target’s position to Kalman filter to correct and estimate target’s track.Through repeated testing in clutter background,the algorithm had better robustness.This algorithm realized the stable tracking of targets,and met the high requirements of high-speed IR target tracking stability of electro-optical tracking system.

关 键 词：高速红外目标 复杂背景 相关跟踪算法 卡尔曼滤波 组合跟踪 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]