Introduction (Kernel density Kernel choices I Peak finding I Mean-shift |Cam-shift Motivation for Kernel density estimation to find pdf The formula(parametric form) of the PDf (probability density function is difficult to find Use sampling method to estimate the p.D.f That means: Gaussian(a parametric form with mean, standard deviation etc. is easy to use) but it is too simple to model real life problems PDF(X N/iToo simple to model o onaL HR real life problems KN(x)=ceiiA X An irregular shape pdf, the distribution Gaussian distribution Is difficult to model using parameters camshift v .a --use non-parametric methods insteadIntroduction | Kernel density | Kernel choices | Peak finding | Mean-shift | Cam-shift Motivation for Kernel density estimation to find PDF • The formula (parametric form) of the PDF (probability density function) is difficult to find. • Use sampling method to estimate the P.D.F. • That means: Gaussian ( a parametric form with mean , standard deviation etc., is easy to use), but it is too simple to model real life problems. 2 || || 2 1 ( ) x N K x c e − =  Camshift v.0.a 7 Gaussian distribution An irregular shape PDF, the distribution Is difficult to model using parameters --use non-parametric methods instead PDF(x) 0 x Too simple to model real life problems