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多目标跟踪的Matlab仿真程序。用于数据处理和数据关联。-multi-target tracking Matlab simulation program. For the data processing and data association.
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用最邻近数据关联算法实现目标跟踪，对研究目标跟踪领域的朋友有用-With the nearest neighbor data association algorithm for target tracking
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A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kern
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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 ro
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提出一种新的目标表示和定位方法,该方法是非刚体跟踪的核心技术.利用均质空间掩膜规范基于特征直方图的目标表示,该掩膜引入了适合于梯度优化的空间平滑相似函数,所以可以将目标定位问题转换为局部极大值求解问题.我们利用从Bhattacharyya系数倒出的规则作为相似度量,利用mean shift procedure完成优化求解.在给出的测试用例中, 本文方法成功解决了相机移动,阴影,以及其他的图象噪声干扰.文章对运动滤波和数据关联技术的集成也进行了讨论.-A new objective and pos
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An Interacting Multipattern Probabilistic Data
Association (IMP-PDA) Algorithm for Target
Tracking
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A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testing. The toolbox contains the implementation of distance calculation methods (e.g. city-bloc
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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 as
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（交互式多模型算法）目标跟踪程序,java语言编写，包含了kalman滤波。这种方法的特点是在各模型之间“转换”，自动调节滤波带宽，和适合机动目标的跟踪。可以直接调用，附有示例代码-A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testi
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两篇与目标跟踪的数据关联有关的论文,仅供参考-two papers on object tracking and data association
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数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它
认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提
出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了
详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。-Data association is one of th
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天波超视距雷达数据关联跟踪算法Horizon Radar Tracking Data Association-Horizon Radar Tracking Data Association
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Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm.
Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Mult
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在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。
两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。
采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。
-Superimposed noise in the posit
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一种用于多目标数据互联的matlab程序，在杂波环境下，实现卡尔曼滤波和最近邻数据数据互联，同时实现卡尔曼滤波与慨率数据的互联.-A method for multi-target tracking matlab procedures in a cluttered environment to achieve Kalman filtering and the data nearest neighbor data association, while achieving the interconn
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MHT(多假设跟踪)是一种基于多个扫描周期量测, 进行数据互联的技术, 理论上是解决数
据关联的最优方法。文中重点阐述多假设跟踪算法中数据聚簇、假设生成及假设概率计算、假设约简与
剪枝等环节。从工程角度出发, 采用K best最优假设和N scan 回溯剪枝以提高算法效率和实用-MHT (multiple hypothesis tracking) is a kind of multiple scan cycle measurement based, d
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仅供参考，采用数据关联算法实现单个匀速运动目标的点迹与航迹的关联；PDAF方法第三种实现；-For reference only, using a single data association algorithm uniform motion targets associated trace and track the point PDAF third method to achieve
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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 detectio
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