Description: 根据二维空间内目标作匀速直线运动和匀速圆周运动的特点，在建立目标运动模型和观测模型的基础上采用基于交互多模算法（IMM）的卡尔曼滤波器对机动目标进行跟踪。仿真结果表明，该算法不仅能够对匀速直线运动和匀速圆周运动的目标进行跟踪，而且在运动模型发生变化时，滤波误差也比较小。
关键词：卡尔曼滤波器；目标跟踪；机动；交互多模（IMM）
-two-dimensional space under target for uniform linear motion and uniform circular motion characteristics, the establishment of the target model and observations on the basis of the model based on interactive multi-algorithm (IMM) Kalman Filter right track moving targets. Simulation results show that the method can not only on uniform linear movement and the uniform circular motion of the target tracking, and the campaign model change, the filter error is relatively small. Keywords : Kalman filter; Target tracking; Mobility; Interactive multi-mode (IMM) Platform: |
Size: 60416 |
Author:zhangyun |
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Description: 目标跟踪，程序利用卡尔曼滤波器实现了对机动目标的跟踪。效果较好的运动模型。
-Target tracking, procedures realize the use of Kalman filter for maneuvering target tracking. Better model of the movement. Platform: |
Size: 7168 |
Author:zzw19831114 |
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Description: 基于卡尔曼滤波器的物体追踪算法，很好用的，而且效率也很高-Kalman Filter-based object tracking algorithm, a very good use, but also high efficiency Platform: |
Size: 15360 |
Author:杜鲁燕 |
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Description: 跟踪相关论文，《基于彩色图像的机器人视觉跟踪》《基于扩展卡尔曼滤波的主动视觉跟踪技术》《基于视觉和扩展卡尔曼滤波的位姿和运动估计新方法》《一种运动目标检测与跟踪快速算法的研究》-Tracking the relevant papers, based on the color image of the robot visual tracking , Extended Kalman Filter based on active vision tracking technology, Based on the visual and extended Kalman filter and the position and orientation of new motion estimation method , a moving target detection and fast algorithm for tracking of Study Platform: |
Size: 1433600 |
Author:王云 |
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Description: 对人体的图像序列进行unscented kalman filter 追踪，参考最经典的UKF算法编写，是学习UKF算法的比较入门的程序-Image sequences on the human body, unscented kalman filter for tracking, the most classical reference to the preparation of the UKF algorithm is a learning algorithm UKF procedure entry
Platform: |
Size: 2761728 |
Author:xujian |
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Description: Tracking targets with radar is an important step in ensuring safety in such endeavors as air travel or military operations. To account for inherent inaccuracies in raw radar measurements of position, and to obtain accurate velocity data, we implemented an algorithm called the Kalman Filter. The resulting track data was used, in conjunction with algebraic and trigonometric methods, to simulate target interception and collision prevention. Our system led an interceptor aircraft to its target and warned pilots of a potential collision, proving the effectiveness of our filter. Platform: |
Size: 320512 |
Author:Nadir |
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Description: 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 generated circle track, forecast track of the location of the next point, mark out and give the corresponding trajectory. Platform: |
Size: 1357824 |
Author:苏芮 |
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Description: 该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！-These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! Platform: |
Size: 396288 |
Author:朱亮亮 |
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Description: Kalman filter 用于跟踪的详细代码有说明，运行良好，适合移植使用-Kalman filter for tracking code has made it clear, well-run, suitable for portable use
Platform: |
Size: 1358848 |
Author:luyu |
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Description: The Unscented Kalman Filter for State Estimation
of 3-Dimension Bearing-Only Tracking
WANG Wan-ping
1,2
1
Institute of Optics and Electronics, Chinese Academy of
Sciences, Chendu, P.R. China
2
Graduate School of the Chinese Academy of Sciences,
Beijing, P.R. China
LIAO Sheng1
, XING Ting-wen1
Institute of Optics and Electronics,
Chinese Academy of Sciences,
Chendu, P.R. China
e-mail: BDBQX_LS@sina.com-The Unscented Kalman Filter for State Estimation
of 3-Dimension Bearing-Only Tracking
WANG Wan-ping
1,2
1
Institute of Optics and Electronics, Chinese Academy of
Sciences, Chendu, P.R. China
2
Graduate School of the Chinese Academy of Sciences,
Beijing, P.R. China
LIAO Sheng1
, XING Ting-wen1
Institute of Optics and Electronics,
Chinese Academy of Sciences,
Chendu, P.R. China
e-mail: BDBQX_LS@sina.com Platform: |
Size: 296960 |
Author:Gomaa Haroun |
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