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复杂背景下红外运动点目标检测算法研究
引用本文:李正周,董能力,金钢.复杂背景下红外运动点目标检测算法研究[J].红外与激光工程,2002,31(5):410-414.
作者姓名:李正周  董能力  金钢
作者单位:中国科学院光电技术研究所,四川,成都,610209
基金项目:国家“八六三”计划光束控制重点实验室资助项目 (863 4 1 0 )
摘    要:讨论了复杂背景下低信噪比运动点目标的检测和跟踪问题,提出了基于卡尔曼滤波理论的背景预测,数学形态学膨胀累加,图像流航迹关联和二级并行假设检验的点目标检测方法。实验结果表明该算法能够较大程度提高红外图像的信噪比,有效地检测和跟踪点目标,并且能够解决目标丢失以及跟踪过程中出现目标的问题。

关 键 词:复杂背景  红外运动  点目标检测  卡尔曼滤波  形态学滤波  图像流  制导  武器
文章编号:1007-2276(2002)05-0410-05
收稿时间:2002/1/16
修稿时间:2002年1月16日

Study on algorithm of point moving target detection in infrared image sequence with complex background
LI Zheng zhou,DONG Neng li,JIN Gang.Study on algorithm of point moving target detection in infrared image sequence with complex background[J].Infrared and Laser Engineering,2002,31(5):410-414.
Authors:LI Zheng zhou  DONG Neng li  JIN Gang
Abstract:Detection of low signal noise ratio small even point moving target in the condition of complicated background is discussed. A new approach based on Kalman filter, mathematical morphology, motion analysis and two stage hypothesis testing to detect and track point target in such condition is presented. The experiment results with real IR image sequence show that the proposed method can greatly improve the SNR, and effectively detect and track the moving point targets. It can especially dissolve the problems that the targets miss and new targets occur during the detecting and tracking.
Keywords:Point target detection  Kalman filter  Morphology filtering  Image flow analysis  Hypothetical test
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