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TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot

Overview

  1. The tour-guide robot used to collect our dataset and the dataset snapshots are shown as follows.
2. Statistical comparisons between our dataset and existing datasets. K = Thousand, M = Million, min = minutes.
3. The pipeline of our method.

How to

  1. Download our dataset from Baidu Netdisk. The fetch code is v0hw. Assume the dataset is downloaded to ${dataset}.
  2. Change working directory to ${dataset}. Run the following command to extract compressed files.
cd iros2022
find . -type f -name "*.tar" | xargs -i sh -c 'a=`dirname {}`; tar -xf {} -C $a'
  1. Clone our source code. Assume the code is cloned into ${TGRMPT}.
  2. Create local link to dataset. cd ${TGRMPT} & ln -s ${dataset}/iros2022 dataset
  3. Detection, see README.
  4. ReID, see README.
  5. Tracking and evaluation, see README.
  6. Deploy, see README.

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Multi-Person Tracking in Tour Guide Robot

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