this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. pa

Design and Use of Steerable Filters PAMI1991文章的代码，含有测试图像和demo，可运行-It implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in: W. T. Freeman and E. H.

粒子滤波跟踪，还算不错的一个demo，调试验证可以通过-Particle filter tracking, fairly good one demo, debug and verify through