Search Results - Pattern Recognition

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  1. 1

    TAR-YOLO: A novel deep learning model and dataset for tennis action recognition

    Chen, B., Du, L., Fang, W., Cen, Y., Mou, C., Peng, J., Jin, L., Peng, X. “…This paper presents the Tennis Action Recognition You Only Look Once Detection Network (TAR-YOLO), a novel, pose-driven action recognition model based upon the YOLO11 architecture, addressing challenges such as occlusion, pose deformation, and multi-view consistency. …”
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  2. 2

    Development of prototypes in sport: A systematic review

    Gomes da Silva, J. C., Silva, K. F., Batista, C. E. C. F., Patrício, G. T., Batista, G. R. “…These parameters can be used for recognition of movement patterns and prevention of potential injuries, such as concussion and fatigue.…”
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  3. 3

    Collaborative learning effects on tactical communication skills and movement-pattern recognition in handball: A randomized controlled trial

    Snoussia, H., Dergaaa, I., Ghouilic, H., Ceyland, H. I., Stefanicae, V., Muntean, R.-I., Hawania, A., Abdellaouia, S., Guelmamic, N., Khalifaa, R., Abderrahman, A. B.
    Published in Acta Kinesiologica (2025)
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  4. 4

    Optimization of sports injury treatment through artificial intelligence: Methods for effective prevention, diagnosis and rehabilitation

    Milic, M. K., Sinanovic, Š., Jestrovic, V.
    Published in Sport - Science & Practice (2024)
    “…Additionally, models for automated injury pattern recognition have been examined, which can significantly contribute to preventative measures and reduce injury incidence. …”
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  5. 5

    Anticipation in soccer: skilled players benefit from early pattern recognition in corner kick situations

    Ivosevic, L., Stöckel, T.
    Published in Frontiers in Psychology (2025)
    “…Further, it appears that skilled players use information from the attacking players (i.e., pattern recognition) to estimate the landing position. …”
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  6. 6

    The Way up: a dataset for hold usage detection in sport climbing

    Maschek, A., Schedl, D. C. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  7. 7

    VNL-STES: a benchmark dataset and model for spatiotemporal event spotting in volleyball analytics

    Nguyen, H., Jamsrandorj, A., Chao, V., Oo, Y. M., Robbani, M. A., Mun, K.-R., Kim, J. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  8. 8

    Jump-Aware: player position rectification and identification in dynamic sports using jump event spotting

    Oo, Y. M., Jamsrandorj, A., Chao, V., Nguyen, H. Q., Hwang, Y., Mun, K.-R., Kim, J. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  9. 9

    No train yet gain: towards generic multi-object tracking in sports and beyond

    Stanczyk, T., Yoon, S., Bremond, F. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  10. 10

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

    Wang, F., Wang, Q., Chen, D. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  11. 11

    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. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  12. 12

    Polar coordinate-based 2D pose prior with neural distance field

    Gan, Q., Nguyen, S. M., Fenaux, E., Clémençon, S., El Yacoubi, M. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  13. 13

    TT3D: table tennis 3D reconstruction

    Gossard, T., Ziegler, A., Zell, A. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  14. 14

    FineCausal: a causal-based framework for interpretable fine-grained action quality assessment

    Han, R., Zhou, K., Atapour-Abarghouei, A., Liang, X., Shum, H. P. H. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  15. 15

    Multi-person physics-based pose estimation for combat sports

    Feizollah Zadeh Khoiee, H., Labbe, D., Romeas, T., Faubert, J., Andrews, S. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  16. 16

    Towards ball spin and trajectory analysis in table tennis broadcast videos via physically grounded synthetic-to-real transfer

    Kienzle, D., Schön, R., Lienhart, R., Satoh, S. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  17. 17

    Efficient 2D to full 3D human pose uplifting including joint rotations

    Ludwig, K., Oksymets, Y., Schön, R., Kienzle, D., Lienhart, R. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  18. 18

    Leveraging anthropometric measurements to improve human mesh estimation and ensure consistent body shapes

    Ludwig, K., Lorenz, J., Kienzle, D., Bui, T., Lienhart, R. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  19. 19

    Coaches` insights: Determinants of athlete success, physical demands and training approaches in single-handed Olympic-class dinghy sailing

    Winchcombe, C. E., Goods, P. S. R., Binnie, M. J., Peeling, P.
    Published in PLOS ONE (2025)
    “…Findings suggest coaches should target consistency in both on and off-water training through `keeping the joy` and sailing in a variety of conditions to improve aspects such as `feel` and `pattern recognition`. We provide key insights into components of performance and aspects of the physical demands and training in ILCA sailing to optimise athlete performance.…”
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  20. 20

    Homography based player identification in live sports

    Pandya, Y., Nandy, K., Agarwal, S. Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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