The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The al

In this paper, we present a comparison of four novel algorithms that have been applied to the tracking of people in an indoor scenario. Tracking is carried out in 3D or 2D (ground plane) to provide position information for a variety of survei

提出了一种基于粒子滤波的交互式多模型多机动目标跟踪算法 -an inter act ing mult iple model tar get t racking algor ithm of mult iple maneuvering target s based o n part icle filter is pr opo sed

一种均值加速中值滤波迭代算法 ，该算法不需要对所有像素的邻域值进行排序，而是对像素的邻域值有选择性的排序，排序后的中值直接替代原像素值-introduces a fast algor i thm of m edium f i ltering ．T h e a l gor i thm chooses som e elem ents for sortin g order nota l l elem en ts by using th e m ean s of valu e． A nd the p