本程序为交互式多模型算法,提供IMM跟踪功能,不错的 很好(This procedure for the interactive multiple model algorithm, IMM tracking capability, good is very good)

交互式无迹卡尔曼滤波，可用于非线性目标跟踪(The interactive unscented Kalman filter can be used for nonlinear target tracking)

贝叶斯结构The proposed approach integrates target existence uncertainty and target dynamical model uncertainty using independent Markov chains within the general Bayesian framework. Its performance is compared with other PDA based solutions-IMM-PDA and IM

目标跟踪中各种基础的点迹航迹数据关联算法matlab代码(Matlab code for various basic data association algorithms)