追踪算法总结

视觉追踪算法综述
本文全面概述了视觉追踪领域的核心算法,从经典的传统方法如卡尔曼滤波、粒子滤波到现代的相关滤波器(MOSSE、CSK、KCF等),再到深度学习驱动的追踪器(MDNET、GOTURN、SiamNet)。每种算法都附有详细的解析链接和开源代码资源,为读者提供了深入学习和实践的路径。

总结追踪算法系列

找时间。。。。

1:generative:

卡尔曼滤波:

如何通俗并尽可能详细解释卡尔曼滤波? - 米开朗基罗赵的回答 - 知乎 https://www.zhihu.com/question/23971601/answer/375355599

https://blog.youkuaiyun.com/heyijia0327/article/details/17487467

https://blog.youkuaiyun.com/heyijia0327/article/details/17667341

https://zhuanlan.zhihu.com/p/39912633

粒子滤波:https://www.cnblogs.com/buyizhiyou/p/5514898.html

meanshift/camshift:https://blog.youkuaiyun.com/tiandijun/article/details/32176199

光流法:

https://blog.youkuaiyun.com/u011285477/article/details/51900878

2:discriminative:TLD/struck

struck

论文:2011,Struck:Structured Output Tracking with Kernels

tlld:

论文:Tracking-Learning-Detection

3:相关滤波:MOSSE/CSK/KCF/CN/DSST....

https://blog.youkuaiyun.com/ycc2011/article/details/84111182

MOSSE:

论文:

2010,visual object tracking using adaptive correlation filters,相关滤波源头

原理解析:

https://blog.youkuaiyun.com/qq_17783559/article/details/82254996

https://blog.youkuaiyun.com/autocyz/article/details/48136473

代码:

https://github.com/buyizhiyou/pyCFTrackers/blob/master/cftracker/mosse.py

CSK:

论文:

2012 Exploiting the Circulant Structure of Tracking-by-detection with Kernels,循环矩阵模拟多次采样

解析:

https://blog.youkuaiyun.com/qq_17783559/article/details/82321239

代码:

https://github.com/buyizhiyou/pyCFTrackers/blob/master/cftracker/csk.py 

KCF:

论文:2014,High-Speed Tracking with Kernelized Correlation Filters,hog特征替代灰度特征

原理解析:

论文:https://blog.youkuaiyun.com/weixin_39467358/article/details/83304082

推导:https://blog.youkuaiyun.com/u013187057/article/details/83897549

代码:

https://github.com/buyizhiyou/pyCFTrackers/blob/master/cftracker/kcf.py

CN:

论文:

2014,Adaptive Color Attributes for Real-Time Visual Tracking,颜色特征,自适应降维

解析:

https://blog.youkuaiyun.com/sansanfree/article/details/79889238

代码:

https://github.com/buyizhiyou/pyCFTrackers/blob/master/cftracker/cn.py 映射矩阵存在pkl文件中

DSST

论文:2014 ,Accurate Scale Estimation for RobustVisual Tracking,多特征融合机制,HOG+CN+灰度特征/多尺度

解析:

https://blog.youkuaiyun.com/weixin_38128100/article/details/80557460

代码:

https://github.com/buyizhiyou/pyCFTrackers/blob/master/cftracker/dsst.py

4:深度学习:

MDNET/GOTURN/SIAMNET....

MDNET:

解析;

https://blog.youkuaiyun.com/sgfmby1994/article/details/79863613

https://www.jianshu.com/p/960620fce3b4

代码:

(tensorflow):https://github.com/buyizhiyou/MDNet_tensorflow

GOTURN:

解析:https://zhuanlan.zhihu.com/p/25338674

代码:https://github.com/buyizhiyou/GOTURN_tensorflow

SiamNet:

解析:

https://blog.youkuaiyun.com/u013187057/article/details/84893307

https://blog.youkuaiyun.com/shenziheng1/article/details/80923464

代码:

 https://github.com/buyizhiyou/SiamFC_pytorch

CFNet:(深度学习结合相关滤波)

解读:

https://blog.youkuaiyun.com/discoverer100/article/details/81118005

https://blog.youkuaiyun.com/u014085471/article/details/78442137

转载于:https://www.cnblogs.com/buyizhiyou/p/10863768.html

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