the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated

By Diomidis Spinellis,Athens University of Economics and Business, Greece, May 2008 The FreeBSD,GNU/Linux,Solaris,and Windows operating systems have kernels that provide comparable facilities. Interestingly, their code bases share almost no comm

This paper introduces an extremely robust adaptive denoising filter in the spatial domain. The filter is based on non-parametric statistical estimation methods, and in particular generalizes an adaptive method proposed earlier by Fukunaga [1]