Precision of a radial basis function neural network tracking method

被引：2
|
作者：
Hanan, J [1 ]
Zhou, HY [1 ]
Chao, TH [1 ]
机构：
[1] Jet Prop Lab, Pasadena, CA 91109 USA
来源：
OPTICAL PATTERN RECOGNITION XIV | 2003年 / 5106卷
关键词：
autonomous tracking; neural network; target recognition; data reduction;
D O I：
10.1117/12.501406
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The precision of a radial basis function (RBF) neural network based tracking method has been assessed against real targets. Intensity profile feature extraction was used to build a model in real time, evolving with the target. Precision was assessed against traditionally measured frame-by-frame measurements from the recorded data set. The results show the potential limit for the technique and reveal intricacies associated with empirical data not necessarily observed in simulations.
引用
收藏
页码：146 / 153
页数：8
相关论文
共 50 条
  • [1] The ridge method in a radial basis function neural network
    Praga-Alejo, Rolando J.
    Gonzalez-Gonzalez, David S.
    Cantu-Sifuentes, Mario
    Torres-Trevino, Luis M.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 79 (9-12): : 1787 - 1796
  • [2] The ridge method in a radial basis function neural network
    Rolando J. Praga-Alejo
    David S. González-González
    Mario Cantú-Sifuentes
    Luis M. Torres-Treviño
    The International Journal of Advanced Manufacturing Technology, 2015, 79 : 1787 - 1796
  • [3] The ridge method in a radial basis function neural network
    20151100633482
    Praga-Alejo, Rolando J. (rolandopraga@comimsa.com), 1787, Springer London (79): : 9 - 12
  • [4] Radial Basis Function Neural Network
    Matera, F
    SUBSTANCE USE & MISUSE, 1998, 33 (02) : 317 - 334
  • [5] Camera calibration method based on radial basis function neural network
    Liu Ding
    Yan Zhen-jie
    Liang Yan-ming
    Yang Yan-xi
    Proceedings of 2004 Chinese Control and Decision Conference, 2004, : 459 - 461
  • [6] A variable projection method for the general radial basis function neural network
    Zheng, Sanpeng
    Feng, Renzhong
    APPLIED MATHEMATICS AND COMPUTATION, 2023, 451
  • [7] An efficient method to construct a radial basis function neural network classifier
    Hwang, YS
    Bang, SY
    NEURAL NETWORKS, 1997, 10 (08) : 1495 - 1503
  • [8] An OFDM Channel Estimation Method With Radial Basis Function Neural Network
    He, Xiaowei
    Yang, Ruizhe
    Zhang, Jie
    Zhang, Yanhua
    INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 1142 - 1149
  • [9] Grating subdivision method based on radial basis function neural network
    Guo, Yu-Mei
    Guan, Rui
    Zhong, Yuan
    Shenyang Gongye Daxue Xuebao/Journal of Shenyang University of Technology, 2011, 33 (02): : 193 - 197
  • [10] Median radial basis function neural network
    Bors, AG
    Pitas, I
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1996, 7 (06): : 1351 - 1364
12345