Description: 一个目标跟踪的代码，是个完整的历程，可以跟踪多个目标，效果还可以-A target tracking code is a complete course, can track multiple targets, the effect can also be Platform: |
Size: 47104 |
Author:武晓玥 |
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Description: 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 the key technologies in multi—target tracking．And JPDA is considered as the best da·
ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many
practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a
Generalized
Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of
these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method． Platform: |
Size: 431104 |
Author:minnie |
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Description: 多传感器多目标数据融合的ＩＭＭ＿ＭＳＰＤＡ关联算法，算法结果表明多模型算法用于跟踪机动目标的良好性能。-Multi-target multi-sensor data fusion IMM_MSPDA association algorithm, the algorithm results show that the multiple model algorithm for tracking maneuvering targets good performance. Platform: |
Size: 11264 |
Author: |
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Description: 利用子空间跟踪算法PAST跟踪运动目标，阵列形式为圆阵，算法可以很好的跟踪多个运动目标-PAST subspace tracking algorithm by tracking moving objects, the array in the form of circular array, the algorithm can track multiple moving targets well Platform: |
Size: 2048 |
Author:林林 |
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Description: 目标跟踪的经典著作，周宏仁(1940- )，从事导弹及雷达研究开发多年，1984年获美国明尼苏达大学控制科学博士学位，现任联合国技术合作部高级顾问 提要文摘附注: 本书分上下两卷，主要研究一个探测器跟踪多个目标(ＯＴＭ)问题。内容包括单机动目标的跟踪和估价，多机动目标的跟踪和估价问题。 -Tracking classic, Zhou Hongren (1940-), engaged in research and development of missiles and radar for many years, Minnesota in 1984 by the University of Science Ph.D., is currently senior adviser to the United Nations Department of Technical Cooperation Abstract Abstract Note: The book consists of two volume, The main track multiple targets of a probe (OTM) problem. Includes a single maneuvering target tracking and valuation, tracking multiple maneuvering targets and valuation issues. Platform: |
Size: 5017600 |
Author:sunfan |
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Description: 多目标跟踪，可处理多个目标，但8个以上效果就不行了。-Tracking, can handle multiple targets, but more than 8 results does not. Platform: |
Size: 76800 |
Author:林礼挺 |
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Description: 此Matlab程序为IEEE TRANSACTIONS ON SIGNAL PROCESSING信号源被动定位与跟踪领域经典文章“An Approximately Efficient TDOA Localization Algorithm in Closed-Form for Locating Multiple Disjoint Sources With Erroneous Sensor Positions”的实现程序，该算法实现在感知节点位置错误时利用TDOA信息对多个目标联合定位的目的！-This Matlab program for the IEEE TRANSACTIONS ON SIGNAL PROCESSING source areas passive localization and tracking classic article " An Approximately Efficient TDOA Localization Algorithm in Closed-Form for Locating Multiple Disjoint Sources With Erroneous Sensor Positions" of the implementation process, the algorithm in location-aware nodes error using TDOA information for the purpose of co-locating multiple targets! Platform: |
Size: 503808 |
Author:haobenjian |
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Description: 多个信号的混频仿真程序，目的是应用于宽带雷达在多个目标存在的情况下，如何显示多个目标在时域和频域的状态跟踪。-Multiple signal mixer simulation program, used in wideband radar in the presence of multiple targets, and how to display multiple target tracking in the time domain and frequency domain state. Platform: |
Size: 6144 |
Author:周严 |
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Description: 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. Platform: |
Size: 600064 |
Author:蒋星星 |
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Description: 结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state transition matrix IMM algorithm. Finally, the interacting multiple model Kalman filter algorithm Matlab simulation and results analysis. Platform: |
Size: 25600 |
Author:王延飞 |
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Description: 高通增强现实
The Image Targets sample shows how to detect an image target and render a simple object on top of it. The sample code shows how to do the following:
Enable the simultaneous detection and tracking of multiple targets
Create, load, and activate multiple device databases
Manage different aspects of the camera, such as flash and autofocus-The Image Targets sample shows how to detect an image target and render a simple object on top of it. The sample code shows how to do the following:
Enable the simultaneous detection and tracking of multiple targets
Create, load, and activate multiple device databases
Manage different aspects of the camera, such as flash and autofocus Platform: |
Size: 22185984 |
Author:王皓 |
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Description: 针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis
density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集
(Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更
新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分-By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al-
gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets
in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD
smoother can be derived according to the physical-space explanation of the PHD Platform: |
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Author:正东 |
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Description: 本文提出了一种针对多目标跟踪的MSRS 聚类与功率联合分配算法。-This paper proposes a joint cluster and power allocation algorithm for multiple targets tracking in
multistatic radar system. Platform: |
Size: 368640 |
Author:yjk |
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Description: In this paper, the problem of tracking multiple
maneuvering targets in clutter is investigated. An improved
interacting multiple model joint probabilistic data association
(IMMJPDA) algorithm is proposed. When the targets are
described by different models, different association matrices are
formulated. However, the traditional IMMJPDA algorithm only
generates one association matrix. This new algorithm can reduce
the overshoot of RMSE in position. The validity of this algorithm
is illustrated through Monte Carlo simulations. Platform: |
Size: 185344 |
Author:rasool |
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Description: 先用背景差分完成目标提取，将运动目标的相关信息放入到链表中，通过帧差完成对多目标的跟踪，达到实时性的要求
运动目标的相关信息存放于结构体中，可以在此基础上判断目标的动作行为跟踪基本框架，opencv编写，利用背景差分，质心法可以跟踪多个目标，并分配ID号，记录行动轨迹，可用于车辆道路等，大家可以参考学习下，效果有待改进，不同的视频会有不同的效果。(The relevant information of the moving object is stored in the structure. Based on this, we can judge the basic framework of the moving behavior tracking of the target. After opencv writing, background difference and centroid method can be used to track multiple targets and allocate ID numbers to record the moving trajectory. In vehicles such as roads, we can learn by reference, the effect needs to be improved, different videos will have different effects.) Platform: |
Size: 40266752 |
Author:huahuahua
|
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Description: 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.) Platform: |
Size: 18432 |
Author:ioeyoyo |
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Search - tracking multiple targets