| 双光斑交叉目标跟踪方法研究 |
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| 引用本文： | 汪国有,张天序,彭嘉雄. 双光斑交叉目标跟踪方法研究[J]. 华中科技大学学报(自然科学版), 1994, 0(5) |
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| 作者姓名： | 汪国有 张天序 彭嘉雄 |
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| 作者单位： | 华中理工大学图像识别与人工智能研究所 |
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| 摘 要： | 为了解决交叉目标跟踪中相关系数矩阵的多峰性引起的目标模糊对应问题，提高状态估计的精度，提出了一种通过估计双光斑交叉目标形状参数来辨别目标，进而完成目标状态估计的方法─ＯＤＡＭＣＦ（ＯｐｔｉｍａｌＤａｔａＡｓｓｏｃｉａｔｉｏｎＭｅｒｇｅｄ－ｍｅａｓｕｒｅｒｎｅｎｔＣｏｕｐｌｅｄＦｉｌｔｅｒ）算法。实验表明，对于像喷气式发动机或导弹尾焰产生的红外高斯图像，形状参数估计的结果是精确的，能较有效地解决目标的模糊对应问题，提高了目标状态估计的精度；
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| 关 键 词： | 图像识别，目标跟踪，目标辨识 |
An Investigation on Target Tracking for Cross Target Images |
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| Wang GuoyouInst.of Pattern Recognition,AI,H.U.S.T.,Wuhan ,China.,Zhang Tianxu,Peng Jiaxiong. An Investigation on Target Tracking for Cross Target Images[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 1994, 0(5) |
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| Authors: | Wang GuoyouInst.of Pattern Recognition&AI H.U.S.T. Wuhan China. Zhang Tianxu Peng Jiaxiong |
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| Affiliation: | Wang GuoyouInst.of Pattern Recognition&AI,H.U.S.T.,Wuhan 430074,China.,Zhang Tianxu,Peng Jiaxiong |
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| Abstract: | In order to eliminate the correspondence amhguity of a target due to themukipeak ofthe correlation coefficient matrix during cross target tracking and to improve the accuracy inthe estimation of target states,an ODAMCF(Optimal Data Association Merged-measure-ment Coupled Filter)algorithm for estimating the target states by computing the shape pa-rameters of two cross targets is proposed Experimental results show that the estimation ofshape parameters of an infrared Gaussian image such as those of a jet engine exhaust or mis-sile plume is fairly accurate. |
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| Keywords: | pattern recognition target tracking object identification |
| 本文献已被 CNKI 等数据库收录！ |
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