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该源码是关于运动对象跟踪的算法,主要实现了高斯背景建模,全局运动补偿(SIFT特征和RANSAC算法),运动对象检测,对象跟踪算法(Mean Shift,Particle Filter等),对象特征提取(轨迹,大小,起止帧等),同时,程序基于VC2008+OpenCV开发,实现了对话框式的程序界面,效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
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ATMEL XMEGA 128 Example for ADC
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object tracking using particle filter
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A simple example showing how to track an object with particle filter. Likelihood is based on Bhattacharya distance of color histogram.
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Hibrid particle filter for multiple object tracking
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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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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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This contained BG/FG detection(simple version and adaptive background mixture models), blob tracking(connected component tracking and MSPF resolver, mean shift, particle filter), Kalman filter using OpenCV. It can be helpful who studying object detec
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该程序实现了粒子滤波算法,应用重要性重采样对实现对一维空间的非线性跟踪。使用MFC编程完成,效果很好,值得一试。-The codes realize the function of tracking an object with particle filter algorithm. And it is suitable for nonlinear system, with VC++ programming. It is really worth trial
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We present a parallel implementation of a histogram-based particle filter for object tracking on smart
cameras based on SIMD processors. We specifically focus on parallel computation of the particle weights
and parallel construction of the featur
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Particle filters are often used for tracking objects within a
scene. As the prediction model of a particle filter is often
implemented using basic movement predictions such as ran-
domwalk,constantvelocityoracceleration,thesemodelswill
us
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A color-based particle filter for multiple object tracking
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一种改进的粒子滤波算法的研究 粒子滤波基本原理,通过改进权重计算、重采样算法, 计算速度得到提高。改进的算法在DSP系统中进行目标跟踪仿真,证明其具有速度快、 精度高的特点-An improved study the basic principles of particle filter particle filter algorithm, recalculation by improving the rights, resampling algorithm to calculate the s
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This paper introduces a new object tracking method
which combines two algorithms working in parallel, and based on
low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and
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本文分别实现了整体模板更新和选择性子模块更新方法,以适应运动目标的运动姿态变化以及运动背景变化,并将其分别与粒子滤波目标跟踪算法相结合,以提高跟踪的鲁棒性。-This thesis studies and implements a total target model updating method and a selected sub-model updating method, and then combines it with the particle filter algorithm f
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