Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: StrongSORT: Make DeepSORT Great Again   Existing Multi-Object Tracking (MOT) methods can be roughly classified as
tracking-by-detection and joint-detection-association paradigms. Although the
latter has elicited more attention and demonstrates comparable performance
relative to the former, we claim that the tracking-by-detection paradigm is
still the optimal solution in terms of tracking accuracy. In this paper, we
revisit the classic tracker DeepSORT and upgrade it from various aspects, i.e.,
detection, embedding and association. The resulting tracker, called StrongSORT,
sets new HOTA and IDF1 records on MOT17 and MOT20. We also present two
lightweight and plug-and-play algorithms to further refine the tracking
results. Firstly, an appearance-free link model (AFLink) is proposed to
associate short tracklets into complete trajectories. To the best of our
knowledge, this is the first global link model without appearance information.
Secondly, we propose Gaussian-smoothed interpolation (GSI) to compensate for
missing detections. Instead of ignoring motion information like linear
interpolation, GSI is based on the Gaussian process regression algorithm and
can achieve more accurate localizations. Moreover, AFLink and GSI can be
plugged into various trackers with a negligible extra computational cost (591.9
and 140.9 Hz, respectively, on MOT17). By integrating StrongSORT with the two
algorithms, the final tracker StrongSORT++ ranks first on MOT17 and MOT20 in
terms of HOTA and IDF1 metrics and surpasses the second-place one by 1.3 - 2.2.
Code will be released soon.

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The categories of this paper are: q-bio
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The categories of this paper are: cond-mat
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The categories of this paper are: mtrl-th
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The categories of this paper are: quant-ph
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The categories of this paper are: solv-int
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The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
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The categories of this paper are: cmp-lg
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The categories of this paper are: funct-an
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The categories of this paper are: plasm-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: comp-gas
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: adap-org
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The categories of this paper are: chem-ph