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  1. 1

    A visual analytics approach to basketball game understanding using image-based tracking and event detection

    Karungaru, S., Tanioka, H.
    Published in International Journal of Computer Science in Sport (2025)
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  2. 2

    Sport-specific differences in key performance factors among handball, basketball and table tennis players

    Hornikova, H., Skala, F., Zemkova, E.
    Published in International Journal of Computer Science in Sport (2023)
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  3. 3

    Part-based player identification using deep convolutional representation and multi-scale pooling

    Senocak, A., Oh, T.-H., Kim, J., Kweon, I. S.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018)
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  4. 4

    Associative embedding for team discrimination

    Istasse, M., Moreau, J., De Vleeschouwer, C.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2019)
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  5. 5

    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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  6. 6

    Trajectory-based handball video understanding

    Hervieu, A., Bouthemy, P., Le Cadre, J. P.
    Published in CIVR '09: Proceedings of the ACM International Conference on Image and Video Retrieval (2009)
    “…The trajectories and their interactions are used to model visual semantics, i.e., the observed activity phases. …”
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  7. 7

    Active player detection in handball scenes based on activity measures

    Pobar, M., Ivasic-Kos, M.
    Published in Sensors (2020)
    “…For tracking, we consider the use of the Hungarian assignment algorithm and the more complex Deep SORT tracker that uses additional visual appearance features to assist the assignment process. …”
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  8. 8

    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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  9. 9

    Automatic recognition of sport events from spatio-temporal data: An application for virtual reality-based training in basketball

    Cannavò, A., Calandra, D., Basilicò, G., Lamberti, F.
    Published in Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) February 25-27, 2019, in Prague, Czech Republic (2019)
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  10. 10

    Court reconstruction for camera calibration in broadcast basketball videos

    Wen, P. C., Cheng, W. C., Wang, Y. S., Chu, H. K., Tang, N. C., Mark Liao, H. Y.
    Published in IEEE Transactions on visualization and computer graphics (2017)
    “…IEEE Transactions on visualization and computer graphics…”
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  11. 11

    Computerized analysis of visual memory and visual pursuit through Vienna Test System among various sport groups and gender

    Acharya, J.
    Published in Proceedings of the 2016 International Association of Computer Science in Sport (IACSS) Conference (2016)
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  12. 12

    Team sports as dynamical systems

    McGarry, T., Perl, J., Lames, M.
    Published in Complex systems in Sport (2014)
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  13. 13

    Tactical decision making in team sports - a model of cognitive processes

    Weigel, P., Raab, M., Wollny, R.
    Published in International Journal of Sports Science (2015)
    “…We performed two studies using the same sample that differed in the format of visual presentation. In Study 1 we presented different offensive scenes on a virtual tactic board via a computer screen. …”
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  14. 14

    Supporting free throw situations of basketball players with augmented reality

    Kahrs, L. A., Raczkowsky, J., Manner, J., Fischer, A., Wörn, H.
    Published in International Journal of Computer Science in Sport (2006)
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  15. 15

    Recognizing tactic patterns in broadcast basketball video using player trajectory

    Chen, H. T., Chou, C. L., Fu, T. S., Lee, S. Y., Lin, B. S. P.
    Published in Journal of Visual Communication and Image Representation (2012)
    “…The audience, sports fans, and even professionals require more than traditional highlight extraction or semantic summarization. Computer-assisted sports tactic analysis is inevitably in urging demand. …”
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  16. 16

    Self-organising maps: An objective method for clustering complex human movement

    Lamb, P., Bartlett, R., Robins, A.
    Published in International Journal of Computer Science in Sport (2010)
    “…The second SOM technique may provide a more objective method than visual technique analysis for explaining movement patterning and structuring practice routines.…”
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  17. 17

    Use of self organizing maps in technique analysis

    Bartlett, R., Lamb, P., Robbins, A.
    Published in Dagstuhl Seminar Proceedings (2008)
    “…The SOM proved to draw the researcher's attention to aspects of the movement that were not obvious from a visual analysis of the original movement either viewed from video or as computer animation. …”
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  18. 18

    A semi-automatic feature selecting method for sports video highlight annotation

    Shen, Y., Lu, H., Xue, X.
    Published in Advances in Visual Information Systems (2007)
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  19. 19

    Development of a computerized dynamic assessment for basketball knowledge

    Park, J.-H., Kang, M., Lee, H. J., Kim, H., Kang, S.-J.
    Published in Research Quarterly for Exercise and Sport (2008)
    “…Recently, computerized tests have been successfully applied in many areas such as education, medicine, or technology. …”
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  20. 20

    Analysis of tactical structures in team handball by means of artificial neural networks

    Pfeiffer, M., Perl, J.
    Published in International Journal of Computer Science in Sport (2006)
    Subjects: “…computer…”
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