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国外著名大学编写的利用粒子滤波器的目标跟踪算法(particle fitler visual tracking)-famous prepared by the University of particle filter target tracking algorithms (particle fitl er visual tracking)
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particle filter for tracking visual target using Matlab ,enjoy it!
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This is tracking source code based on
"MCMC Particle Filter for Real-Time Visual Tracking of Vehicles".
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粒子滤波的训练部分.理论部分参考michael isard的博士论文<Visual Motion Analysis by Probabilistic Propagation of Conditional Density>learn a dynamical matrix部分.训练集合和采集需要的图片都包含了(原用于手势跟踪,故图片均为手势图片).采集代码使用另外一个代码image_demo(已上传)-Particle filter part of the training. Micha
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"MCMC Particle Filter for Real-Time Visual Tracking of Vehicles"
This is a paper about tracking by particle filter.
This is very useful.
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基于AR2模型的粒子滤波源代码,可用于图像处理,视觉跟踪,希望可以帮助有需要的人-AR2 model particle filter based on source code can be used for image processing, visual tracking, I hope to help people in need
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本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library
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国外著名大学编写的利用粒子滤波器的目标跟踪算法-particle fitler visual tracking)-famous prepared by the University of particle filter target tracking algorithms (particle fitl er visual tracking)
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该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码,用于实现鲁棒的视觉目标跟踪,其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成,大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化,但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家!-These codes are us
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the Kernel Particle Filter
(KPF)—is proposed for visual tracking in image sequences.
The KPF invokes kernels to form a continuous estimate of the
posterior density function. Particles are allocated based on the
gradient information estimated
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粒子滤波(particle filter, condensation,mcmc)源码,C++实现,主要用于视频跟踪-Particle filter source code, C++ , particle filter, condensation, MCMC, mostly used in visual tracking
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基于核粒子滤波的视觉跟踪,采用核密度和粒子滤波结合,进行视觉图像跟踪-Nuclear density and particle filter a nuclear particle filter-based visual tracking, visual image tracking
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2011年IEEE T.的A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter,请大家分享-2011 IEEE T. A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter to share
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本文提出一种通过实时调整目标特征权值来进行背景自适应跟踪的算法。首先,定义了一种综合特征集合用以描述目标的颜色和局部轮廓。其次,提出了在滤波框架中对目标特征进行评估的算法,从而使得具有强区分能力的特征占有较大的权值,进而使其能够在跟踪过程起到较大的作用。采用传统的Kalman 滤波和粒子滤波对所提出的算法进行了验证。-In this paper, we propose a new adaptive visual object tracking method based on
online f
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基于粒子滤波的视频目标跟踪技术研究。提出多种跟踪算法,算法效果良好-Based on Particle Filter video tracking technology. Proposed various tracking algorithm, the algorithm works well
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针对遮挡、光照变化、尺度变化等复杂环境中的视觉跟踪问题, 提出一种基于后验概率
度量的粒子滤波跟踪算法-For shelter, illumination changes, scale variations in complex environments such as visual tracking problem, a posterior probability metrics based on particle filter tracking algorithm
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本文主要研究海面运动船只的识别与跟踪技术。首先概述了海上运动目标检测和跟踪的研究现状;对目前主要的显著区域提取、运动目标识别和跟踪方法进行了简要概述;提出了基于视觉注意和HOG特征相融合的海上船只目标检测方法;利用多特征融合的粒子滤波算法对运动目标进行了跟踪。-This paper studies the sea sport vessel identification and tracking technology. First, an overview of maritime moving t
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MATLAB实习的基于粒子滤波的视觉跟踪-Computer Vision- Visual Tracking with Particle Filter
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视频跟踪辅助粒子滤波程序AVPF,用于运动目标的视觉跟踪-Auxiliary particle filter video tracking procedures AVP, for visual tracking of moving objects
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这是一个非常优秀的粒子滤波跟踪源码,运行速度快,跟踪效果好,可以作为视觉跟踪入门时的代码进行学习。(this is a very efficient code for visual tracking based on particle filter.)
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