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jpda
- 两个目标 交叉运动场景 Kalman滤波进行状态估计-Two goals two goals for cross-motion in the scene state estimation Kalman filtering
fxxztyc
- 将卡尔曼滤波器用于非线性状态预测，代码具有极高的参考价值。-An implementation of Extended Kalman Filter for nonlinear state estimation.
Kalmenf-filters
- 文章介绍了卡尔曼滤波的原理，包括状态方程、过程估计、噪声原理等，并通过matlab予以实现验证。-This paper introduces the principle of Kalman filtering, including the equation of state, the process of estimation, noise theory, etc., and through matlab to achieve validation.
Kfestimator
- kalman filter,可用于去噪滤波，参数估计，系统识别等功能。-kalman filter and estimation
Kalman
- 图像进行运动估计时，可用此平滑曲线，求出抖动分量，从而可以进行运动补偿-Image motion estimation, can use this smooth curve, seek the jitter component, and can exercise compensation
Kalman
- Kalman滤波原理及源码(matlab)-Kalman filter toolbox written by Kevin Murphy, 1998. See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details. Installation ------------ 1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/K
kaermanlvbo967456
- 卡尔曼滤波以最小均方误差为最佳估计准则，采用信号与噪声的状态空间模型，利用前一时刻的估计值和当前时刻的观测值来更新对状态变量的估计，求出当前时刻的估计值，算法根据建立的系统方程和观测方程对需要处理的信号做出满足最小均方误差的估计-Kalman filter to minimize the mean square error criterion for the best estimates, using the state space model of signal and noise, usin
TrafficDetection-master
- 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. In particular, the system provides robust foreground segmentation of moving vehicles