Introduction KErnel density Kernel choices I Peak finding I Mean-shift I Cam-shift Non-parametric methods -Histogram Kernel density estimation (discuss here General form of a Kerne density function f(x)=∑ K h Add kernel d functions Each one to become is a kernel the finayPpF function KI(X-xi)/h) 8 8 5 Histogram nttp: /en.wikipedia. org/wikilKernel_density_estimation 1-dimension example sity Kernel (Gaussian)del Camshift v 0.a 11Introduction | Kernel density | Kernel choices | Peak finding | Mean-shift | Cam-shift Non-parametric methods --Histogram --Kernel density estimation (discuss here) • =       − = n i i h d h x x K nh C f x 1 ( ) ˆ Camshift v.0.a 11 http://en.wikipedia.org/wiki/Kernel_density_estimation Histogram Kernel (Gaussian) density 1-dimension example General form of a Kernel density function Each one is a kernel function K[(x-xi )/h)] Add kernel functions to become the final P.D.F