# OCT-KCF

**Repository Path**: greitzmann/OCT-KCF

## Basic Information

- **Project Name**: OCT-KCF
- **Description**: OCT-KCF: Output Constraint Transfer for Kernelized Correlation Filter in Tracking
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-11-10
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## Output Constraint Transfer for Kernelized Correlation Filter in Tracking

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### Introduction
This is a MATLAB implementation of algorithm presented in "Output Constraint Transfer for Kernelized Correlation Filter in Tracking" paper [1]. The implementation is built upon the code provided by [2]. The code provided by [3] is used for computing the HOG features.


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### Instructions

1) Run the "run_tracker.m" script in MATLAB.

2) Choose sequence (only "Jogging-1" is included).

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### Notes
According to the visual tracker benchmark, the start frame of video “Tiger1” should be 6. So we added some code on the 56th line of the script “load_video_info.m”.

To get the results consistent with our paper, you need to download the latest version of our source code, and modify the “groundtruth_rect.txt” file of “Tiger1” by deleting the first 5 lines.


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### Contact

Baochang Zhang

bczhang@buaa.edu.cn

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### References
[1] B. Zhang, Z. Li, X. Cao, Q. Ye, C. Chen, L. Shen, A. Perina, and R. Ji,
    "Output Constraint Transfer for Kernelized Correlation Filter in Tracking," IEEE Transactions on Systems, Man, and Cybernetics:system, 2016.

[2] J. Henriques, R. Caseiro, P. Martins, and J. Batista.
    "High-Speed Tracking with Kernelized Correlation Filters."
     IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015

[3] Piotr Dollár.
    "Piotr’s Image and Video Matlab Toolbox (PMT)."
    http://vision.ucsd.edu/~pdollar/toolbox/doc/index.html.