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用CMAC预测红外图像的目标轨迹
引用本文:史彩成,赵保军,毛二可,何佩琨. 用CMAC预测红外图像的目标轨迹[J]. 北京理工大学学报(英文版), 2002, 11(3): 263-265. DOI: 10.3969/j.issn.1004-0579.2002.03.009
作者姓名:史彩成  赵保军  毛二可  何佩琨
作者单位:北京理工大学,电子工程系,北京,100081
基金项目:MinisterialLevelAdvancedResearchFoundation
摘    要:为了有效地提高目标的捕获概率,进行红外图像目标跟踪时,必须预测目标的质心和姿态.采用CMAC估计器可以有效地解决常用预测算法运算量与预测精度之间的矛盾.CMAC估计器先用线性模型进行训练,然后预测目标的质心和姿态.CMAC每帧用实际误差训练一次,以减少其预测误差.CMAC具有很高的预测精度,且运算量少,适应目标跟踪的实时处理.实验表明:CMAC能精确预测目标的质心和姿态,适应模型变化,具有鲁棒性.

关 键 词:红外图像  CMAC  目标跟踪
收稿时间:2002-06-18

Targets Track Predicting of IR Image by CMAC
SHI Cai cheng,ZHAO Bao jun,MAO Er ke and HE Pei kun. Targets Track Predicting of IR Image by CMAC[J]. Journal of Beijing Institute of Technology, 2002, 11(3): 263-265. DOI: 10.3969/j.issn.1004-0579.2002.03.009
Authors:SHI Cai cheng  ZHAO Bao jun  MAO Er ke  HE Pei kun
Affiliation:Department of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Department of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Department of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China;Department of Electronics Engineering, Beijing Institute of Technology, Beijing100081, China
Abstract:The centroid and attitude of target must be predicted in target tracking of IR image for increasing capture probability. CMAC estimator can effectually resolve conflict between operational counts and predicting precision. CMAC estimator is trained with a linear model, then the centroid and attitude are predicted. It is trained once by actual error in each frame to reduce the estimate error. CMAC has excellent predicting precision and small operational counts, it adapts to real time processing for target tracking. The experimental results show that CMAC can accurately estimate the centroid and attitude of target. It adapts to change of model and has robustness.
Keywords:IR image  CMAC  target tracking
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