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LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark (ACM MM2020)

License: MIT License

MATLAB 21.63% M 0.08% Makefile 2.92% HTML 6.89% CSS 1.42% Python 3.33% Clean 0.29% TeX 0.30% Shell 0.08% C 62.58% Roff 0.48%
infrared-dataset infrared-object-tracking thermal-infrared-dataset thermal-infrared-tracking

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lsotb-tir's Issues

XML issues

作者好,发现数据集中TIR_training_001 的person_041:00000031.xml,Airplane_002 : 00000088.xml中的 有错误。可以修改

Journal version training dataset?

I see that there are 136 seqs in evaluation dataset of journal version, which is 25 larger than 100 short-term + 11 long-term. Therefore, does it mean these25 seqs plus original 1280 training seqs of conference version form the 1305 training seqs that match the journal paper description?

关于12类挑战的问题

请问每一类挑战分别对应哪些序列?
可以公开您在做子集评估时每一类挑战的序列信息吗?

Download data is limited

Hi sir,
Your cloud services is paid and only 5 GB data is allowed to download for free. Is it possible to provide any other link like Google drive or Baidu pan? or any other ways to download from the same link without limit restrictions?

cat_D_001 or car_D_001 in the test sequences?

When I evaluate my tracker on LSOTB-TIR test dataset. I get an error that lacks "cat_D_001_myTracker.mat".
So I check the test sequences. I found out it is not "cat_D_001", but “car_D_001” in the test sequences.
Could you please check it out?
Thanks!

drawResultBB 中报错问题

您好,
MATLAB2020a
对所有跟踪算法在序列中的跟踪效果进行绘制,但提示如下(line 差异在于自己在代码中添加了注释):

错误使用 legend (line 278)
元素 4 不是字符串标量或字符数组。元胞输入的所有元素都必须为字符串标量或字符数组。

出错 drawResultBB (line 128)
legend(legends_handle, legends_desc);% tracker legend

results of MMNet

Hello~ I'm interested in this work and I want to compare my algorithms with MMNet on this dataset. Can you give me the results MMNet on LSOTB-TIR dataset?

Which sequences are from RGBT234 dataset?

If you use this dataset for RGBT tracking and test the tracker on RGBT234 dataset. You need to exclude all TIR sequences in folder 'TIR_training_002' because they all come from RGBT.

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