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  1. 1

    From beats to scores: a multi-modal framework for comprehensive figure skating assessment

    Wang, F., Wang, Q., Chen, D.
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  2. 2

    AthletePose3D: a benchmark dataset for 3D human pose estimation and kinematic validation in athletic movements

    Yeung, C., Suzuki, T., Tanaka, R., Yin, Z., Fujii, K.
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  3. 3

    TT3D: table tennis 3D reconstruction

    Gossard, T., Ziegler, A., Zell, A.
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  4. 4

    Ermittlung der Synchronität der Bewegungen bei Rudermannschaften mittels Sensorik und Pose Estimation (Determining the synchronisation of movements in rowing teams using sensor technology and pose estimation)

    Ningelgen, J.
    Published 2024
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  5. 5

    Automatic score in archery target using simple image processing method

    Qohar, A., Akbar, R., Hendriawan, A.
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  6. 6

    Sports field registration via keypoint-aware label condition

    Chu, Y.-J., Su, J.-W., Hsiao, K.-W., Lien, C.-Y., Fan, S.-H., Hu, M.-C., Lee, R.-R., Yao, C.-Y., Chu, H.-K.
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  7. 7

    On-site aerodynamic investigation of speed skating

    Spoelstra, A., Terra, W., Sciacchitano, A.
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  8. 8

    Human movement quality assessment using sensor technologies in recreational and professional sports: A scoping review

    Venek, V., Kranzinger, S., Schwameder, H., Stöggl, T.
    Published in Sensors (2022)
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  9. 9

    Automated knee MR images segmentation of anterior cruciate ligament tears

    Awan, M. J., Rahim, M. S. M., Salim, N., Rehman, A., Garcia-Zapirain, B.
    Published in Sensors (2022)
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  10. 10

    LSTM with bio inspired algorithm for action recognition in sports videos

    Chen, J., Jackson Samuel, R. D., Poovendran, P.
    Published in Image and Vision Computing (2021)
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  11. 11

    A Component-based video content representation for action recognition

    Adeli, V., Fazl-Ersi, E., Harati, A.
    Published in Image and Vision Computing (2019)
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  12. 12

    Collective sports: A multi-task dataset for collective activity recognition

    Zalluhoglu, C., Ikizler-Cinbis, N.
    Published in Image and Vision Computing (2020)
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  13. 13

    Erarbeitung von photogrammetrischen Auswerteverfahren für den Einsatz schwenkbarer Kameras in der Leistungssportforschung (Development of photogrammetric evaluation methods for the use of pivoting cameras in competitive sports research)

    Drenk, V.
    Published 1988
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  14. 14

    Timing and imaging evidence in sport: Objectivity, intervention, and the limits of technology

    Finn, J.
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  15. 15

    Martial arts, dancing and sports dataset: A challenging stereo and multi-view dataset for 3D human pose estimation

    Zhang, W., Liu, Z., Zhou, L., Leung, H., Chan, A. B.
    Published in Image and Vision Computing (2017)
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  16. 16

    Automatic evaluation of sports motion: A generic computation of spatial and temporal errors

    Morel, M., Achard, C., Kulpa, R., Dubuisson, S.
    Published in Image and Vision Computing (2017)
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  17. 17

    Audio-visual classification of sports types

    Gade, R., Abou-Zleikha, M., Christensen, M. G., Moeslund, T. B.
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  18. 18

    Injury mechanism classification in soccer videos

    Murthy,O. V. R., Goecke, R.
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  19. 19

    Predicting ball ownership in basketball from a monocular view using only player trajectories

    Wei, X., Sha, L., Lucey, P., Carr, P., Sridharan, S., Matthews, I.
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  20. 20

    Depth compensation model for gaze estimation in sport analysis

    Narcizo, F. B., Hansen, D. W.
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