搜索资源列表
SequentialMonteCarloMethods.ra
- 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
FIMM
- FIMM自适应交互多模型的机动目标跟踪，FIMM_PDA.m为主程序-FIMM adaptive interacting multiple model target tracking, FIMM_PDA.m-based program
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- Video object matching across multiple independent views using local descr iptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪，和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descr iptors and adaptive learning article d
Multipledeceptionjammingtechniquesusingdigitallyco
- 讲多个假目标欺骗干扰技术的文章，最新英文下载，里面有详细的固件框图和仿真图-Talk about multiple false target jamming technology to deceive the article, the latest English download, which detailed the firmware block diagram and simulation diagram
smart_ptr
- 超越BOOST的C++智能指针 实现了同一指针初始化多个smart_ptr和BOOST的可以转换类型的smart_ptr的相互赋值-Beyond the BOOST smart pointers in C++ to achieve the same target multiple smart_ptr and BOOST initialization can be converted to the type of the mutual assignment of smart_ptr
review
- 综述——关于多元信息融合和目标识别以及跟踪技术的发展和研究现状-Summary- About multiple information fusion and target recognition and tracking technology development and research
multi-target-detection-tracking-
- 比较详细的讲解了视频中多运动目标检测跟踪算法的研究-More detailed explanation of the video tracking of multiple moving target detection algorithm
autonomous-vehicles-target-tracking
- 基于视觉的自主车为目标的数据融合跟踪使用多个相互作用的动态模型-Vision based data fusion for autonomous vehicles target tracking using interacting multiple dynamic models
fast-subspace-algorithm
- 为了对空间辐射源进行精确定位" 建立了基于任意阵列对多目标源进行二维DOA估计的数学模型。将 MUSIC算法推广到三维空间阵列可以对辐射源进行二维高精度测向,但由于其需要估计接收数据的协方差矩阵和进行特征分解, 因而其计算量较大。利用多级维纳滤波器的前向递推获得信号子空间和噪声子空间，不需要估计协方差矩阵和对其进行特征分解，从而降低了MUSIC算法的计算量。将文中的方法应用于任意阵列的二维DOA估计中进行计算机仿真和实际侧向系统性能验证,实验结果均表明该方法达到了MUSIC算法的性能,但与常规M
Bearings-only-target-tracking
- 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 tracki
multisensor-data
- Part I Introduction to Multisensor Data Fusion 1 Multisensor Data Fusion David L. Hall and James Llinas 1.1 Introduction 1.2 Multisensor Advantages 1.3 Military Applications 1.4 Nonmilitary Applications 1.5 Three Processing Architectu
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- 当前对机动目标跟踪的算法研究主要集中在交互式多模型((IMM)算法，它己被证明是目前混合系统估计算法中性价比最好的算法。-Maneuvering target tracking algorithm research focuses on the interacting multiple model ((IMM) algorithm, which has proved to be the best cost-effective algorithm in the current hybrid sy
Multiple-Target-Tracking-Using-Kalman-Filter
- tracking multiple objects using kalman filter
Cooperative-target-pursuit-UAVs
- Cooperative target pursuit -Cooperative target pursuit by multiple UAVs in an adversarial environment
Multiple-target-tracking-with
- 一篇国外的博士论文，关于实时多目标跟踪的。很详细，会有帮助的。主要应用在对高速公路的车辆的跟踪，从单目标着手，扩展到多目标跟踪-A foreign doctoral thesis on real-time multi-target tracking. Very detailed and will help.
distributedtar-eusipco-2008
- We propose an approximation framework for distributed target localization in sensor networks. We represent the unknown target positions on a location grid as a sparse vector, whose support encodes the multiple target locations. The location v
Multiple-objects-tracking-opencv
- Opencv多目标跟踪原理文档。详细讲述了如何实现多目标的算法。- Opencv principle of multi-target tracking documents. A detailed account of how the algorithm to achieve multiple objectives.
IMM-algorithm-based-target-tracking
- 文档里，给出了基于交互式多模型方法的目标跟踪原理建模的方法，并附带了分析和仿真程序，很不错的，值得下载学习-Documentation, tracking principle gives the modeling method based on the target interactive multiple model approach, and comes with analysis and simulation procedures, very good, it is worth learn
Source_Hibrid-MTT
- multiple target tracking demo
SEMINAR
- Multiple Target Localization Using Wideband Echo Chirp Signals