Description: 本文介绍的是基于粒子滤波和均值偏移算法的目标跟踪.结合创新的算法克服了两种算法各自的缺陷,鲁棒性和实时性得到了很大的提高.
-This article is based on the introduction of the particle filter and mean shift tracking algorithm. Combination of innovative algorithms to overcome the shortcomings of their respective two algorithms, robustness and real-time has been greatly improved. Platform: |
Size: 917504 |
Author:阳关 |
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Description: 接摄像头可以测试粒子滤波、meanshift等几种跟踪算法-Then the camera can test the particle filter, meanshift such as several tracking algorithm Platform: |
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Author:周凯 |
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Description: 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 used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! Platform: |
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Author:朱亮亮 |
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Description: 经典的基于运动信息的跟踪算法--粒子滤波，避免了meanshift的收敛于局部最优-Based on the classic the sports information tracking algorithm- particle filter to avoid meanshift the convergence in the local optimal Platform: |
Size: 8039424 |
Author:murry |
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Description: 该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法-The program is my many years of experience and code, the realization of the panorama target tracking, flame detection, smoke detection, standing up sitting judge, cross-border intrusion, wandering, illegal parking and other various intelligent functions integration, particle filter, Bayesian classifier, random forest variety of online learning mechanism, and the traditional CAMSHIFT, meanshift, optical flow method, Kalman filter, the, KCF, regional matching, phase correlation, contour tracking and other several algorithms Platform: |
Size: 5217280 |
Author:王东 |
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