(GM_PHD_FilterVersion1.09,13thDecember2013MatlabcodebyBryanClarkeb.clarke@acfr.usyd.edu.auwith:-someKalmanfilterupdatecodebyTimBailey,takenfromhiswebsitehttp://www-personal.acfr.usyd.edu.au/tbailey/software/-error_ellipsebyAJJohnson,takenfromMatlabCentralhttp://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipseAlgorithmbyBa-NguVo&Wing-KinMain:B.-N.Vo,W.-K.Ma,"TheGaussianMixtureProbabilityHypothesisDensityFilter",IEEETransactionsonSignalProcessing,Vol54,No.11,November2006,pp4091-4104Thisisanimplementationofagaussianmixtureprobabilityhypothesisdensityfilter(GM-PHD)forasimulatedtrackingproblem.Theproblemspecificationisgivenintheabovepaper-insummary,twotargetsmovethroughtheenvironment,thereisalotofclutteronthemeasurement,andabouthalfwaythroughathirdtargetspawnsoffoneofthetwotargets.) - IMDN开发者社群-imdn.cn">

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GM_PHD_Filter_v110

于 2014-04-12 发布文件大小:94KB

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GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

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