Search Results - The Visual Computer

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  1. 1

    Diving into data driven match analysis in football with floodlight and open data

    Bassek, M., Memmert, D., Rein, R. “…Using floodlight, we show a pipeline to create advanced data analysis and visualization that is interchangeable, reproducible, and requires minimal prior coding experience. …”
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  2. 2

    Data-driven analytics for decision making in game sports

    Seidenschwarz, P. G.
    Published 2021
    “…., of sensor technologies or computer vision technology. However, the data-driven analysis of athletes and team performances is very demanding. …”
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  3. 3

    Using machine learning pipeline to predict entry into the attack zone in football

    Stival, L., Pinto, A., dos Santos Pinto de Andrade, F., Pereira Santiago, P. R., Biermann, H., da Silva Torres, R., Dias, U.
    Published in PLOS ONE (2023)
    “…Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. …”
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  4. 4

    Flow visualisation around spinning and non-spinning soccer balls using the lattice Boltzmann method

    Asai, T., Hong, S., Kimachi, K., Abe, K., Kai, H., Nakamura, A.
    Published in Proceedings (2018)
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  5. 5

    Soccer: who has the ball? Generating visual analytics and player statistics

    Theagarajan, R., Pala, F., Zhang, X., Bhanu, B.
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  6. 6

    Associative embedding for team discrimination

    Istasse, M., Moreau, J., De Vleeschouwer, C.
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  7. 7

    Pass receiver prediction in soccer using video and players' trajectories

    Honda, Y., Kawakami, R., Yoshihashi, R., Kato, K., Naemura, T.
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  8. 8

    SoccerTrack: a dataset and tracking algorithm for soccer with fish-eye and drone videos

    Scott, A., Uchida, I., Onishi, M., Kameda, Y., Fukui, K., Fujii, K.
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  9. 9

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

    Li, R., Bhanu, B.
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  10. 10

    Tracking of moving athlete from video sequences using flower pollination algorithm

    Ong, P., Chong, T. K., Ong, K. M., Low, E. S.
    Published in The Visual Computer (2022)
    “…The Visual Computer…”
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  11. 11

    Learning camera control in dynamic scenes from limited demonstrations

    Hanocka, R., Assa, J., Cohen-Or, D., Giryes, R.
    Published in Computer Graphics Forum (2022)
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  12. 12

    Group activity detection from trajectory and video data in soccer

    Sanford, R., Gorji, S., Hafemann, L. G., Pourbabaee, B., Javan, M.
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  13. 13

    Constructing spaces and times for tactical analysis in football

    Andrienko, G., Andrienko, N., Anzer, G., Bauer, G., Budziak, G., Fuchs, G., Hecker, D., Weber, H., Wrobel, S. “…IEEE Transactions on visualization and computer graphics…”
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  14. 14

    PassVizor: Toward better understanding of the dynamics of soccer passes

    Xie, X., Wang, J., Liang, H., Deng, D., Cheng, S., Zhang, H., Chen, W., Wu, Y. “…IEEE Transactions on visualization and computer graphics…”
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  15. 15

    Visual analysis of pressure in football

    Andrienko, G., Andrienko, N., Budziak, G., Dykes, J., Fuchs, G., von Landesberger, T., Höhn, M., Weber, H. “…We give examples of applying the proposed combination of computational, visual, and interactive techniques to real data from games in the German Bundesliga, where the teams actively used pressing in their defense tactics.…”
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  16. 16

    Read-the-game: System for skill-based visual exploratory activity assessment with a full body virtual reality soccer simulation

    Rojas Ferrer, C. D., Shishido, H., Kitahara, I., Kameda, Y.
    Published in PLOS ONE (2020)
    “…Specifically, the engaged visual exploratory activity (VEA) during a VR simulation is measured frame-by-frame at runtime to study the behavior of players making passing decisions while experiencing pressure from rivals during in-game situations recreated with computer graphics (CG). …”
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  17. 17

    ForVizor: Visualizing spatio-temporal team formations in soccer

    Wu, Y., Xie, X., Wang, J., Deng, D., Liang, H., Zhang, H., Cheng, S., Chen, W. “…IEEE Transactions on visualization and computer graphics…”
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  18. 18

    Where to go: Computational and visual what-if analyses in soccer

    Stein, M., Seebacher, D., Marcelino, R., Schreck, T., Grossniklaus, M., Keim, D. A., Janetzko, H.
    Published in Journal of Sports Sciences (2019)
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  19. 19

    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
    “…The Conference Technical Program includes oral presentations and poster presentations, organized in four simultaneous tracks: Computer Systems in Sports, Health and Support Technology, Signal Processing in Human Movement and Sport Performance and Support Technology. …”
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  20. 20

    Object tracking by occlusion detection via structured sparse learning

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