rpt-master
所属分类：图形图像处理
开发工具：matlab
文件大小：30396KB
下载次数：19
上传日期：2018-02-27 10:49:00
上 传 者：
hualvin
说明： CVPR2014 可以有效处理目标跟踪中的部分遮挡问题
(The problem of partial occlusion in target tracking can be effectively handled)
文件列表:
EuDist2.m (1188, 2015-12-15)
PSR.m (838, 2015-12-15)
addParts.m (1119, 2015-12-15)
data (0, 2015-12-15)
data\Soccer (0, 2015-12-15)
data\Soccer\groundtruth_rect.txt (5476, 2015-12-15)
data\Soccer\img (0, 2015-12-15)
data\Soccer\img\0001.jpg (60952, 2015-12-15)
data\Soccer\img\0002.jpg (60350, 2015-12-15)
data\Soccer\img\0003.jpg (60457, 2015-12-15)
data\Soccer\img\0004.jpg (63792, 2015-12-15)
data\Soccer\img\0005.jpg (63954, 2015-12-15)
data\Soccer\img\0006.jpg (65966, 2015-12-15)
data\Soccer\img\0007.jpg (67830, 2015-12-15)
data\Soccer\img\0008.jpg (69410, 2015-12-15)
data\Soccer\img\0009.jpg (67275, 2015-12-15)
data\Soccer\img\0010.jpg (67964, 2015-12-15)
data\Soccer\img\0011.jpg (62390, 2015-12-15)
data\Soccer\img\0012.jpg (64948, 2015-12-15)
data\Soccer\img\0013.jpg (65354, 2015-12-15)
data\Soccer\img\0014.jpg (66064, 2015-12-15)
data\Soccer\img\0015.jpg (67930, 2015-12-15)
data\Soccer\img\0016.jpg (68377, 2015-12-15)
data\Soccer\img\0017.jpg (66304, 2015-12-15)
data\Soccer\img\0018.jpg (65664, 2015-12-15)
data\Soccer\img\0019.jpg (66694, 2015-12-15)
data\Soccer\img\0020.jpg (65772, 2015-12-15)
data\Soccer\img\0021.jpg (66565, 2015-12-15)
data\Soccer\img\0022.jpg (69725, 2015-12-15)
data\Soccer\img\0023.jpg (66232, 2015-12-15)
data\Soccer\img\0024.jpg (66009, 2015-12-15)
data\Soccer\img\0025.jpg (68080, 2015-12-15)
data\Soccer\img\0026.jpg (68522, 2015-12-15)
data\Soccer\img\0027.jpg (73611, 2015-12-15)
data\Soccer\img\0028.jpg (72612, 2015-12-15)
data\Soccer\img\0029.jpg (69984, 2015-12-15)
data\Soccer\img\0030.jpg (70360, 2015-12-15)
data\Soccer\img\0031.jpg (72413, 2015-12-15)
... ...
# Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches (RPT)
This is the research code of our RPT tracker. It is implemented in matlab code and aimed to academical purpose. Details can be found in our [CVPR paper](https://github.com/ihpdep/ihpdep.github.io/raw/master/papers/cvpr15_rpt.pdf). Please cite our publication if you use the code
```
@InProceedings{Li_2015_CVPR,
author = {Li, Yang and Zhu, Jianke and Hoi, Steven C.H.},
title = {Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015}
}
```
# Instructions
* 1) Modify the base_path in "run_tracker.m" with your own setting if needed.
* 2) Run the "run_tracker.m" script in MATLAB.
* 3) Choose sequence.
# Dependencies
Our work employs KCF[1] as the base tracker.
[1] J. F. Henriques, R. Caseiro, P. Martins, J. Batista. "High-Speed Tracking with Kernelized Correlation Filters." TPAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
# Contact:
Yang Li,
liyang89@zju.edu.cn
ihpdep.github.io
Jianke Zhu
jkzhu@zju.edu.cn
jkzhu.github.io
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