Search - probabilistic data association filter

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[Special Effects] pdaf-demo DL : 0: Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example
Date : 2008-10-13 Size : 3.22kb User : liushan
[Special Effects] pdaf-demo DL : 0: Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example
Date : 2025-07-06 Size : 3kb User : liushan
[matlab] JPDA DL : 0: JPDA源代码 -JPDA source code source code JPDA
Date : 2025-07-06 Size : 1kb User :
[Graph Recognize] PDA DL : 0: 一种用于多目标跟踪的改进PDA算法，北京理工大学学报上面的文章，、概率数据关联滤波(p robab ility data associat ion f ilter, PDA )-A multi-target tracking algorithm improvements PDA, Beijing Institute of Technology Journal of the above articles, probabilistic data association filter (p robab ility data associat ion f ilter, PDA)
Date : 2025-07-06 Size : 132kb User : 孟钢
[Other] 153_PMHT_Problems_and_Somesolutions DL : 0: PMHT是一个优秀的跟踪算法，具有灵活性和易修正的特点。-The probabilistic multihypothesis tracker (PMHT) is a target tracking algorithm of considerable theoretical elegance. In practice, its performance turns out to be at best similar to that of the probabilistic data association filter (PDAF) and since the implementation of the PDAF is less intense numerically the PMHT has been having a hard time finding acceptance. The PMHT’s problems of nonadaptivity, narcissism, and over-hospitality to clutter are elicited in this work. The PMHT’s main selling-point is its flexible and easily modifiable model, which we use to develop the “homothetic” PMHT maneuver-based PMHTs, including those with separate and joint homothetic measurement models a modified PMHT whose measurement/target association model is more similar to that of the PDAF and PMHTs with eccentric and/or estimated measurement models.
Date : 2025-07-06 Size : 429kb User : wang zhuo
[matlab] cv_pdaf DL : 1: CV模型，利用概率数据关联算法和最近邻算法对其进行跟踪滤波，保证正确-CV model, the probabilistic data association algorithm and the nearest neighbor filter algorithm to track and ensure the correct
Date : 2025-07-06 Size : 2kb User : 肖恩
[Algorithm] trackerCod DL : 0: Probabilistic Data Association Filter
Date : 2025-07-06 Size : 20kb User : estevan
[Other] Tracking-of-Small-Targets- DL : 0: An effective approach to the detection and tracking of small moving targets with low contrast is proposed-The detection and tracking of small moving targets in low signal-to-noise ratio and cluttered environments is a very important problem in surveillance and target tracking [l]. In the past two decades, extensive research has been carried out to solve the problem, including Kalman filter, probabilistic data association, multiple hypothesis testing 121 and etc.
Date : 2025-07-06 Size : 586kb User : 蒋星星
[matlab] JPDA DL : 0: 跟踪滤波方法：概率数据互联。封装性能好！-Tracking filter method: probabilistic data association. Package good performance!
Date : 2025-07-06 Size : 7kb User : 赵中天
[matlab] NNSF DL : 0: 利用最近邻域标准滤波器（NNSF）和概率数据互联滤波器（PDAF）进行航迹绘制并进行相互比较。-Use nearest neighbor standard filter (NNSF) and probabilistic data association filter (PDAF) be drawn and compared with each other track.
Date : 2025-07-06 Size : 1kb User : 汪望松
[Other] 10.1186%2Fs13634-016-0401-8 DL : 0: The fuzzy recursive least squares-probabilistic data association (FRLS-PDA) filter is presented for tracking single maneuvering target in cluttered situations with unknown process noises. In the proposed filter, the association probabilities of the current valid measurements belonging to a motion target are calculated by the probabilistic data association (PDA) algorithm.
Date : 2025-07-06 Size : 810kb User : devil1979
[matlab] GM-PHD1 DL : 1: Over-the-horizon radar (OTHR) exploits skywave propagation of high-frequency signals to detect and track targets, which are different from the conventional radar. It has received wide attention because of its wide area surveillance, long detection range, strong anti-stealth ability, the capability of the long early warning time, and so on. In OTHR, a significant problem is the effect of multipath propagation, which causes multiple detections via different propagation paths for a target with missed detections and false alarms at the receiver [1–6]. Nevertheless, the conventional tracking algorithms, such as probabilistic data association (PDA) [7–9], presume that a single-measurement per target, it may consider the other measurements of the same target as clutter, and multiple tracks are produced when a single target is present. Therefore, these methods cannot effectively solve the multipath propagation problem.(Conventional multitarget tracking systems presume that each target can produce at most one measurement per scan. Due to the multiple ionospheric propagation paths in over-the-horizon radar (OTHR), this assumption is not valid. To solve this problem, this paper proposes a novel tracking algorithm based on the theory of finite set statistics (FISST) called the multipath probability hypothesis density (MP-PHD) filter in cluttered environments. First, the FISST is used to derive the update equation, and then Gaussian mixture (GM) is introduced to derive the closed-form solution of the MP-PHD filter. Moreover, the extended Kalman filter (EKF) is presented to deal with the nonlinear problem of the measurement model in OTHR. Eventually, the simulation results are provided to demonstrate the effectiveness of the proposed filter.)
Date : 2025-07-06 Size : 18kb User : ioeyoyo