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Image Analysis System for Augmented Reality Games

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Progress on Pattern Classification, Image Processing and Communications (CORES 2023, IP&C 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 766))

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Abstract

This article presents the idea of a vision system allowing the analysis of images from multiple cameras for the needs of augmented reality systems. The presented solution allows for the effective determination of the positions and movement paths of people moving in urban space and their activities. The article presents the key modules of multi-view image analysis, including the gamer detection and tracking (MOT) subsystem and the user activity detection subsystem. The discussed subsystems have been tested in order to determine the effectiveness of the proposed algorithms for determining the movement path and recognizing activity.

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References

  1. Zhang, Y., Wang, C., Wang, X., Zeng, W., Liu, W.: FairMOT: on the fairness of detection and re-identification in multiple object tracking. Int. J. Comput. Vision 129(11), 3069–3087 (2021)

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  2. Milan, A., Leal-Taixe, L., Reid, I., Roth, S., Schindler, K.: MOT16: a benchmark for multi-object tracking (2016)

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  3. Carreira, J., Zisserman, A.: Quo vadis, action recognition? a new model and the kinetics dataset (2018)

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  4. Feichtenhofer, C., Fan, H., Malik, J., He, K.: SlowFast networks for video recognition (2019)

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  5. Zhang, Hao X., et al.: AlignedReID: surpassing human-level performance in person re-identification (2018)

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  6. Benchmark MOT16 Results. https://motchallenge.net/results/MOT16/det=Private &orderBy=Rcll &orderStyle=ASC. Accessed 12 Apr 2022

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Acknowledgement

This work was supported by the National Centre for Research and Development, project POIR.01.02.00-00-0204/20.

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Authors and Affiliations

  1. Institiute of Microelectronics and Optoelectronics, Warsaw University of Technology, Nowowiejska 15/19, St., Warsaw, Poland

    Piotr Garbat, Michał Żakowski & Mateusz Bieniek

  2. Institiute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, St., Warsaw, Poland

    Grzegorz Galiński

  3. Faculty of Architecture, Warsaw University of Technology, Koszykowa 55, St., Warsaw, Poland

    Maciej Lasocki

Authors
  1. Piotr Garbat
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  2. Grzegorz Galiński
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  3. Michał Żakowski
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  4. Mateusz Bieniek
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  5. Maciej Lasocki
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Corresponding author

Correspondence to Piotr Garbat .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Robert Burduk

  2. University of Technology and Life Science, Bydgoszcz, Poland

    Michał Choraś

  3. University of Technology and Life Science, Bydgoszcz, Poland

    Rafał Kozik

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Ksieniewicz

  5. University of Technology and Life Science, Bydgoszcz, Poland

    Tomasz Marciniak

  6. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Trajdos

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Garbat, P., Galiński, G., Żakowski, M., Bieniek, M., Lasocki, M. (2023). Image Analysis System for Augmented Reality Games. In: Burduk, R., Choraś, M., Kozik, R., Ksieniewicz, P., Marciniak, T., Trajdos, P. (eds) Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023 2023. Lecture Notes in Networks and Systems, vol 766. Springer, Cham. https://doi.org/10.1007/978-3-031-41630-9_10

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