dsst_tracking's Introduction

Dsst_Tracking

C++ implementation of Dsst

refer to "https://github.com/klahaag/cf_tracking"

参照上述链接实现DSST目标跟踪，链接里实现了DSST和KCF两种算法，这里将DSST提取出来单独实现，并进行了工程简化方便理解代码，简化的内容有：

将命令行解析从TrackerRun类里提出，并将命令缩减到4个:

  -c, "Camera device id"
  -f, "seq_file", "Path to sequence file"
  -b, "Init Bounding Box"
  -s, "Save video as result.avi and output results to result.txt in current dirctory "

去掉了重载函数，参考工程里的重载函数只在参数类型上有不同，所以将数据类型固定并去掉了重载函数.
去掉了一些无关紧要的中间函数(这样做代码结构可能会不清晰，但方便理解代码).
将Init和Run的windowTitle统一，参考工程里的选取目标的窗口和显示目标跟踪的窗口不同，所以这里将两个窗口统一.

References

[1]

@article{henriques2015tracking,
title = {High-Speed Tracking with Kernelized Correlation Filters},
author = {Henriques, J. F. and Caseiro, R. and Martins, P. and Batista, J.},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
year = {2015}

[2]

@inproceedings{danelljan2014dsst,
title={Accurate Scale Estimation for Robust Visual Tracking},
author={Danelljan, Martin and H{\"a}ger, Gustav and Khan, Fahad Shahbaz and Felsberg, Michael},
booktitle={Proceedings of the British Machine Vision Conference BMVC},
year={2014}}

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