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目标跟踪问题的应用背景是雷达数据处理,即雷达在搜索到目标并记录目标的位置数据,
对测量到的目标位置数据(称为点迹)进行处理,自动形成航迹,并对目标在下一时刻的位置进行预测。
ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测,并借助于Matlab仿真工具,对实验的效果进行评估。
trajectory.m产生理论的航迹,并绘出
Kalman_filter.m 利用Kalman滤波算法,对目标的航迹进行估计
filter_result.m kalman滤波估计的
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用opencv实现camshift算法 并且使用了 kalman算法来预测物体可能的运动轨迹 跟踪效果 一般-Achieved with opencv kalman camshift algorithm and uses algorithms to predict the trajectory of the object tracking results may be general
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本实验是利用卡尔曼滤波器实现一维匀加速运动的轨迹跟踪。卡尔曼滤波是一种时域滤波方法,它采用状态空间方法描述系统,算法采用递推机制,数据存储量小,在导航领域有成功的应用。-This experiment is the use of Kalman filter to achieve a one-dimensional constant acceleration of the trajectory tracking. Kalman filter is a time-domain filtering m
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卡尔曼滤波应用。该源码实现应用kalman滤波进行目标运动轨迹的跟踪。-Kalman filtering applications. The source to achieve the application of kalman filter for target tracking trajectory.
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ESTIMATION OF AIRCRAFT TRAJECTORY FROM ITS MOTION USING KALMAN TRACKING FILTER
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基于OpenCV的Kalman滤波算法。利用Kalman滤波算法实现目标跟踪,本例中具体跟踪对象为随机产生的圆的轨迹,预测轨迹中下一点的位置,标记出来并给出相应的运动轨迹。-The Kalman filtering algorithm based on OpenCV. The use of Kalman filter algorithm for target tracking, in this case specifically track the object is randomly gene
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目标跟踪程序,使用matlab编写,采用CV模型,卡尔曼跟踪,有轨迹模拟,给出了跟踪的误差
目标跟踪,采用CV模型,卡尔曼滤波,给出模拟结果和跟踪结果,给出误差分析-Target tracking program, using matlab prepared, using the CV model, Kalman tracking, trajectory simulations have given a tracking error target tracking, using the CV
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目标运动和卡尔曼跟踪的仿真程序,给出了系统状态转移矩阵和测量过程,以及协方差和增益。通过绘图得出仿真轨迹和真实轨迹的平均误差。有助于研究目标航迹跟踪-Target motion and Kalman tracking simulation program, the system state transition matrix and measurement process, as well as the covariance and gain. Obtained by drawing the a
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扩展卡尔曼滤波,无味卡尔曼滤波对非线性轨迹目标跟踪性能对比。-Extended Kalman filter, unscented Kalman filter to nonlinear trajectory target tracking performance comparison.
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卡尔曼滤波原理程序手册,卡尔曼主要用于预测,轨迹跟踪-The Kalman filtering principle Procedures Manual, Kalman mainly used to predict the trajectory tracking
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基于卡尔曼滤波的雷达目标跟踪,对运动轨迹进行滤波-Kalman filter-based radar target tracking, trajectory filtering
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实现基于卡尔曼滤波的圆球运动轨迹跟踪,程序很简单,适合初学者-Ball trajectory tracking based on Kalman filtering
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扩展卡尔曼滤波器对匀加速直线运动和匀速直线运动的轨迹追踪-Extended Kalman Filter for uniformly accelerated linear motion and uniform motion trajectory tracking
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EKF扩展kalman滤波估计二维平面运动轨迹,实现二维平面有源雷达对目标距离和速度的跟踪。-Kalman filtering estimation of 2D motion trajectory EKF extension, realize the planar active radar for target distance and velocity tracking.
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Kalman滤波在跟踪轨迹时的使用,得到更好的图像-The use of Kalman filter in tracking trajectory, get a better image
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基于卡尔曼滤波的目标轨迹跟踪预测 最优化自回归数据处理算法-Kalman filter based tracking target trajectory optimization autoregression forecasting data processing algorithms
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基于卡尔曼滤波的目标轨迹跟踪预测 最优化自回归数据处理算法-Kalman filter based tracking target trajectory optimization autoregression forecasting data processing algorithms
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轨迹跟踪卡尔曼滤波建立在线性代数和隐马尔可夫模型(hidden Markovmodel)上(The trajectory tracking Calman filter is based on linear algebra and hidden Markov models (hidden, Markovmodel))
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运用kalman实现目标跟踪,采用仿真数据,添加观测噪声,使用kalman滤波器进行轨迹预测。(Use Kalman to realize target tracking.Adopted simulation data with observated noise and use kalman filter to predict moving trajectory.)
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使用扩展卡尔曼滤波轨迹追踪的python代码(Python code for trajectory tracking using extended Kalman filter)
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