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一个很好的粒子滤波算法，可以实现动目标跟踪算法参考-a good particle filter, can achieve a moving target tracking algorithm reference
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Auxiliary Particle Filter implemented in C# (also known as condensation algorithm, Sequential Monte Carlo, etc..)
See Auxiliary Particle Filter by Pitt/Shephard 1998 for details on this algorithm. Will need to be modified for your use but shoul
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粒子滤波实现图像序列中的运动目标检测，跟踪matlab程序，有注释，有图像序列,Particle filter realization of the image sequence in the moving target detection, tracking matlab codes, there are notes, contains image sequence
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实现了粒子滤波功能，主要用在跟踪等各个方面，是一个很好的算法-The realization of the particle filter, mainly used in tracking all aspects of the algorithm is a very good
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粒子滤波源码，可以用于运动目标跟踪，具有很好的参考意义。-Source particle filter, can be used for moving target tracking, with a very good reference value.
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视频场景切换及轮廓检测（VS2008+opencv）,采用VC编写，注意源代码里的视频名称是“sunyanzi.avi”,改成自己的视频名称即可-scene change detection and detective contours,write with vc,remember change the name of video in the code into yours
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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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无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf-In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential M
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自主导航系统中以卡尔曼滤波算法及其衍生算
法如扩展卡尔曼滤波、无迹卡尔
曼滤波、容积卡尔曼滤波
、鲁棒滤波或粒子滤波
等为信息处理的核心。-Autonomous navigation system with kalman filter algorithm and its derivatives
Method such as extended kalman filtering, no trace, Carl
Kalman filter, filtering, volume
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