Search Results - Image and Vision Computing

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  1. 1

    Foul prediction with estimated poses from soccer broadcast video

    Fang, J., Yeung, C., Fujii, K.
    Published in Sports Engineering (2025)
    “…Recent advances in computer vision have led to significant progress in tracking and pose estimation of sports players. …”
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  2. 2

    A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games

    Cioppa, A., Deliège, A., Van Droogenbroeck, M.
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  3. 3

    Football action recognition using hierarchical LSTM

    Tsunoda, T., Komori, Y., Matsugu, M., Harada, T.
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  4. 4

    3D ball localization from a single calibrated image

    Van Zandycke, G., De Vleeschouwer, C.
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  5. 5

    Semi-supervised training to improve player and ball detection in soccer

    Vandeghen, R., Cioppa, A., Van Droogenbroeck, M.
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  6. 6

    Fine-grained visual dribbling style analysis for soccer videos with augmented dribble energy image

    Li, R., Bhanu, B.
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  7. 7

    Sports camera calibration via synthetic data

    Chen, Jianhui and Little, James J.
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  8. 8

    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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  9. 9

    Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support, September 20-21, 2019, in Vienna, Austria

    J. Vilas-Boas, P. Pezarat-Correia, J. Cabri
    Published 2019
    “…Gordon; DOI:10.5220/0008165600640075 Simulation Model for Road Cycling Time Trials with a Non-constant Drag Area; P. 76 - 83; Eivind Rømcke , Elias Sørensen , Petter Aas , Lars Bardal , Steinar Harneshaug , Magnus Lian , Luca Oggiano and Scott Drawer ; DOI:10.5220/0008165800760083 Vision-based Detection of Humans on the Ground from Actual Aerial Images by Informed Filters using Only Color Features; P. 84 - 89; Takuro Oki , Risako Aoki , Shingo Kobayashi , Ryusuke Miyamoto , Hiroyuki Yomo and Shinsuke Hara; DOI:10.5220/0008166000840089 Soccer Players` Agility: Complex Laboratory Testing for Differential Training; P. 90 - 96; Anna Zakharova , Kamiliia Mekhdieva , Vasiliy Krasilnikov and Varvara Timokhina; DOI:10.5220/0008166700900096 Exercise Testing of Elite Rowers: Comparison of Methods and Protocols; P. 97 - 102 ; Kamiliia Mekhdieva , Anna Zakharova and Varvara Timokhina; DOI:10.5220/0008166900970102 A Solution of a Mathematical Model Which Simulates Football Game as a Logistics Network; P. 105 - 112; Kenan Mengüç ; DOI:10.5220/0007917801050112 Body Composition and Segmental Bioimpedance Phase Angle in Elite Volleyball Players; P. 113 - 116; Olivia Di Vincenzo , Maurizio Marra , Rosa Sammarco , Enza Speranza and Luca Scalfi; DOI:10.5220/0007945701130116 Automated Shoe Last Customization using MATLAB Algorithm; P. 117 - 122; T. …”
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  10. 10

    Object tracking by occlusion detection via structured sparse learning

    Zhang, T., Ghanem, B., Xu, C., Ahuja, N.
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  11. 11

    Non-invasive soccer goal line technology: A real case study

    Spagnolo, P., Leo, M., Mazzeo, P. L., Nitti, M., Stella, E., Distante, A.
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  12. 12

    Injury mechanism classification in soccer videos

    Murthy,O. V. R., Goecke, R.
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  13. 13

    Analysis of attacking episodes in soccer

    Siegle, M., Siles, F., Beetz, M., Lames, M. “…Using computer vision and image processing techniques, the DFG-project ASpoGAMo produces positional data from soccer players, referees and the ball (Beetz, et al., 2005 & 2009). …”
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  14. 14

    Automatic soccer players tracking in goal scenes by camera motion elimination

    Khatoonabadi, S. H., Rahmati, M.
    Published in Image and Vision Computing (2009)
    “…Image and Vision Computing…”
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