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3matlab_3objs
- 从网上学习的一种对三个运动目标跟踪的多目标跟踪算法，采用卡尔曼滤波方法进行预测。效果还不错。-From an e-learning to track moving targets on the three multi-target tracking algorithm using Kalman filtering method to predict. Results were pretty good.
MHT
- 采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
nn1
- 最近邻算法结合卡尔曼滤波算法实现多目标跟踪-Nearest-neighbor algorithm for multi-target tracking
a
- 基于多目标的跟踪和实现，里面介绍了跟踪算法的现状，以及如何基于mean shift和卡尔曼滤波改进跟踪算法-Based on multi-target tracking and realization, which describes the status of the tracking algorithm, and how mean shift and Kalman filter based tracking algorithm to improve
jjudf
- 多被动传感器UKF与EKF算法在目标跟踪的的应用，扩展卡尔曼滤波-More passive sensor UKF and EKF algorithm in target tracking applications
ukf
- 实现不敏卡尔曼滤波,可以用于雷达目标跟踪，多传感器数据融合-this matlab program gieves the UKF
cx1
- 扩展卡尔曼滤波方法用于被动多传感器协同目标跟踪-Extended Kalman filter for passive multi-sensor collaborative target tracking
KAR
- 利用卡尔曼滤波进行多目标跟踪的几个简单示例程序，希望对大家有帮助哦-Kalman filter for multi-target tracking simple example program, we want to help, oh
kalman
- 卡尔曼滤波 雷达对多维目标进行跟踪 并对装填方程进行预测 是入门的良好代码-Kalman filtering of radar target tracking and multi-dimensional equations to predict filling is good code entry
imm-ukf-filter
- 利用交互多模型无迹卡尔曼滤波算法实现机动目标跟踪。-Interacting multipl emodel Unscented kalman filter （IMM UKF)is presented to improve the performance of target tracking.
Particle-filter
- 粒子滤波，用来实现目标跟踪,多目标跟踪，及目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,-Particle filter, used to achieve target tracking, multiple target tracking and target tracking and positioning, the ability to solve nonlinear problems Bikaerman filtering, EKF, UKF much bett
IMM
- 用多个不同的模型对同一目标的轨迹进行卡尔曼滤波，适用于对机动目标的跟踪。-Kalman filtering of the same target trajectory using a number of different models is applied to the tracking of maneuvering targets.
kalman+tracking
- 采用卡尔曼滤波完成对于目标状态的融合估计和跟踪，实现多传感器对移动目标的持续有效跟踪。(Calman filter is used to complete the fusion estimation and tracking of the target state, and the multi sensor continuous and effective tracking of moving target is realized.)