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Lifted Disjoint Paths with Application in Multiple Object Tracking

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This is the official implementation of our ICML 2020 paper Lifted Disjoint Paths with Application in Multiple Object Tracking (Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda) [https://arxiv.org/abs/2006.14550].

Tracking Result

We provide the solver implemented in C++, along with a Python wrapper. The tracker is implemented in Matlab.

Evaluation

Using the features explained in our paper, we achieve the following results on MOT17:

MOTAIDF1FPFNIDs
Train67.072.42655107803791
Test60.565.6149662066191189

Note that all results on the training set have been calculated in a leave-one-out fashion so that values are actually meaningful.

Citation

If you use our work in your research, please cite our publication:

    @InProceedings{lifted_disjoint_paths_2020_ICML,
    author={Andrea Hornakova and Roberto Henschel and Bodo Rosenhahn and Paul Swoboda},
    title={Lifted Disjoint Paths with Application in Multiple Object Tracking},
    booktitle = {The 37th International Conference on Machine Learning (ICML)},
    month = {July},
    year = {2020}
}