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: 强机动目标跟踪的基本模型仿真,匀速,匀加速模型等,蒙特卡诺滤波的实现等。-Strong maneuvering target tracking simulation of the basic model, uniform, uniform acceleration model and so on, the realization of such蒙特卡诺filtering. Platform: |
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Author:琦琦 |
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Description: 基于RBMCDA (Rao-Blackwellized Monte Carlo Data Association)方法的多目标追踪程序-RBMCDA Toolbox is software package for Matlab consisting of multiple target tracking methods based on Rao-Blackwellized particle filters. The purpose of the toolbox is provide a testing platform for constructing multiple target tracking applications based on the provided RBMCDA (Rao-Blackwellized Monte Carlo Data Association) algorithms. Platform: |
Size: 116736 |
Author:sayyou |
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Description: 蒙特卡洛用于多目标跟踪的很不错的论文Sequential Monte Carlo Methods for Multiple Target Tracking and Data Fusion-Sequential Monte Carlo Methods for Multiple Target Tracking and Data Fusion Platform: |
Size: 441344 |
Author:victory |
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Description: Multiple-input multiple-output (MIMO) radar has been receiving increasing attention
in recent years from researchers, practitioners, and funding agencies. MIMO radar is
characterized by using multiple antennas to simultaneously transmit diverse (possibly
linearly independent) waveforms and by utilizing multiple antennas to receive the
reflected signals. Like MIMO communications, MIMO radar offers a new paradigm
for signal processing research. MIMO radar possesses significant potentials for
fading mitigation, resolution enhancement, and interference and jamming suppression.
Fully exploiting these potentials can result in significantly improved target
detection, parameter estimation, as well as target tracking and recognition
performance. Platform: |
Size: 7849984 |
Author:可难 |
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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: target tracking
The CV and CA models can be used to model the
distance between front and host vehicles, but we don’t
know when a specific model should be used. The
interacting multiple model (IMM) estimator [1] is an
algorithm which can be used to handle such case. In
IMM algorithm, at time k the previous estimates from the
multiple models are mixed based on the mixing
probabilities to generate different mixed initial conditions
for different filters. Platform: |
Size: 30720 |
Author:jailin |
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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: 一份关于单个目标跟踪和多个目标跟踪的KALMAN滤波资料,详细的解释个多种算法-A report on the single target tracking and multiple target tracking KALMAN filtering information, a detailed explanation of a multiple target Platform: |
Size: 4999168 |
Author:洪程 |
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Description: 本文分别就纯方位角跟踪中的机动目标跟踪、有信号传输时延时的跟踪及一类特定的多目标跟踪问题进行了较为系统和深入的研究。首先,针对非机动目标提出一种智能距离参数化无味滤波方法,与传统方法相比,改进了跟踪初始性能、滤波精度以及优化了系统资源。其次,针对机动目标纯方位角跟踪提出一种将交互多模型和核粒子滤波结合的方法,在维持跟踪精度的前提下,大幅减少了所需粒子数,改善了系统实时性。-This paper bearings-only tracking of maneuvering target tracking, signal transmission time delay tracking and a special class of multiple target tracking problem systematically and deeply studied. Firstly, the maneuvering target puts forward an intelligent distance parameters of unscented filtering method, compared with the traditional method, improved the initial tracking performance, the filter accuracy and the optimization of system resources. Secondly, the maneuvering target bearings-only tracking presents an interactive multiple model and kernel particle filter binding method, in the maintenance of the tracking precision, greatly reduces the required number of particles, improves the system real time. Platform: |
Size: 5805056 |
Author:于文娟 |
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Description: 一篇关于目标跟踪的文献,基于交互多模型目标跟踪。-A literature on target tracking, based on the interacting multiple model target tracking. Platform: |
Size: 246784 |
Author:朱华国 |
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Description: 这是关于多目标跟踪的相关资料,介绍多目标跟踪目前经典的方法-This is the relevant information about the multi-target tracking, introduce multi-target tracking methods currently classic Platform: |
Size: 19821568 |
Author:廖红海 |
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Description: 一个实现多目标跟踪的程序,适合刚入门的学习,非常实用,用做基本练习还是蛮好的-An implementation of multiple target tracking procedure, suitable for beginner learning, very practical, used as basic good practice
Powered by Youdao Platform: |
Size: 91136 |
Author:xxx |
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Description: 多目标跟踪的matlab代码,其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好,但是跟踪目标大于8后,效果下降很多-Multiple target tracking of matlab code, and accompanied by documentation.The background difference method can realize real-time updates.The code in a few target detection and tracking effect is very good, but after more than eight, tracking effect decreased a lot Platform: |
Size: 94208 |
Author:lanzhou Ding |
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