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Large Scale Real-World Multi-person Tracking

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Computer Vision – ECCV 2022 (ECCV 2022)

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Abstract

This paper presents a new large scale multi-person tracking dataset. Our dataset is over an order of magnitude larger than currently available high quality multi-object tracking datasets such as MOT17, HiEve, and MOT20 datasets. The lack of large scale training and test data for this task has limited the community’s ability to understand the performance of their tracking systems on a wide range of scenarios and conditions such as variations in person density, actions being performed, weather, and time of day. Our dataset was specifically sourced to provide a wide variety of these conditions and our annotations include rich meta-data such that the performance of a tracker can be evaluated along these different dimensions. The lack of training data has also limited the ability to perform end-to-end training of tracking systems. As such, the highest performing tracking systems all rely on strong detectors trained on external image datasets. We hope that the release of this dataset will enable new lines of research that take advantage of large scale video based training data.

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Notes

  1. 1.

    https://docs.aws.amazon.com/sagemaker/latest/dg/sms-video-object-tracking.html.

  2. 2.

    We encourage the researchers report detection AP@0.5 of their tracking models on our dataset.

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Authors and Affiliations

  1. AWS AI Labs, Seattle, USA

    Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew Berneshawi, Alyssa Boden & Joseph Tighe

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  1. Bing Shuai
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  2. Alessandro Bergamo
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  3. Uta Büchler
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  5. Alyssa Boden
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  6. Joseph Tighe
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Correspondence to Bing Shuai .

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Editors and Affiliations

  1. Tel Aviv University, Tel Aviv, Israel

    Shai Avidan

  2. University College London, London, UK

    Gabriel Brostow

  3. Google AI, Accra, Ghana

    Moustapha Cissé

  4. University of Catania, Catania, Italy

    Giovanni Maria Farinella

  5. Facebook (United States), Menlo Park, CA, USA

    Tal Hassner

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Shuai, B., Bergamo, A., Büchler, U., Berneshawi, A., Boden, A., Tighe, J. (2022). Large Scale Real-World Multi-person Tracking. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds) Computer Vision – ECCV 2022. ECCV 2022. Lecture Notes in Computer Science, vol 13668. Springer, Cham. https://doi.org/10.1007/978-3-031-20074-8_29

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