Description: 来自IEEE数据库几篇对象跟踪问题的文章，相信对需要的同志很有用-From the IEEE database object tracking problem of a few articles, I believe that the comrades of the need for useful Platform: |
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Author:建国 |
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Description: 场景中多目标的物体检测和跟踪技术研究，包括两篇硕士论文有一定学习意义-Multi-object scene object detection and tracking technology research, including two master' s thesis to study the meaning of a certain Platform: |
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Author:huan |
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Description: 统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法，
但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这
一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自
多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和
仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附
加的计算量小等优点。-Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc
used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking
by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same
source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The
theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with
low calculation load added and higher precision 。 Platform: |
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Author:minnie |
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Description: 利用粒子滤波器进行多目标物体的跟踪代码，效果很好-The use of particle filters for multi-target tracking of objects, works well Platform: |
Size: 106496 |
Author:xcm |
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Description: Ronald P. S. Mahler - Statistical Multisource-Multitarget Information Fusion
Information fusion is the process of gathering, filtering, correlating and integrating relevant information from various sources into one representational format. It is used by signal processing engineers and information operations specialists to help them make decisions involving tasks like sensor management, tracking, and system control. This comprehensive resource provides practitioners with an in-depth understanding of finite-set statistics (FISST) - a recently developed method that has been gaining much attention among professionals because it unifies information fusion, utilizing statistics that most engineers learn as undergraduates. The book helps professionals use FISST to create efficient information fusion systems that can be implemented to address real-world challenges in the field.-Ronald P. S. Mahler- Statistical Multisource-Multitarget Information Fusion
Information fusion is the process of gathering, filtering, correlating and integrating relevant information from various sources into one representational format. It is used by signal processing engineers and information operations specialists to help them make decisions involving tasks like sensor management, tracking, and system control. This comprehensive resource provides practitioners with an in-depth understanding of finite-set statistics (FISST)- a recently developed method that has been gaining much attention among professionals because it unifies information fusion, utilizing statistics that most engineers learn as undergraduates. The book helps professionals use FISST to create efficient information fusion systems that can be implemented to address real-world challenges in the field. Platform: |
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Author:何可可 |
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Description: 基于随机集目标跟踪的一篇最新的英文文献。对于目标跟踪领域的研究者很有帮助。-RFS target tracking .very helpful to those who study target tracking Platform: |
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Author:杨永建 |
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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: |
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Author:ioeyoyo |
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Search - multitarget tracking