Search Results - Image and Vision Computing

Refine Results
  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. …”
    Save to List
    Saved in:
    Access source
  2. 2

    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.
    Save to List
    Saved in:
    Access source
  3. 3

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

    Wang, F., Wang, Q., Chen, D.
    Save to List
    Saved in:
    Access source
  4. 4

    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.
    Save to List
    Saved in:
    Access source
  5. 5

    TT3D: table tennis 3D reconstruction

    Gossard, T., Ziegler, A., Zell, A.
    Save to List
    Saved in:
    Access source
  6. 6

    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.
    Save to List
    Saved in:
    Access source
  7. 7

    Finish-line photography system based on multi-scale convolutional neural network deblurring

    Jin, Z., Tian, W. “…In sports science research, the dynamic non-uniform blur caused by the movement of running athletes is a challenging problem in computer vision, that seriously affects the judgment accuracy of the finish-line photography system. …”
    Save to List
    Saved in:
    Access source
  8. 8

    Rugby scene classification enhanced by vision language model

    Nonaka, N., Fujihira, R., Koshiba, T., Maeda, A., Seita, J.
    Save to List
    Saved in:
    Access source
  9. 9

    Analyse automatique de vidéos de course de natation elite (Automatic analysis of elite swim race videos)

    Jacquelin, N.
    Published 2022
    “…This imposes important constraints related to the recording conditions of the videos: our methods must be robust and general. Computer vision methods will be explored to get the best out of the videos. …”
    Save to List
    Saved in:
    Access source
  10. 10

    Analysis of movement and activities of handball players using deep neural networks

    Host, K., Pobar, M., Ivasic-Kos, M.
    Published in Journal of Imaging (2023)
    “…The aim of the paper is to explore the computer vision-based solutions for recognizing player actions that can be applied in unconstrained handball scenes with no additional sensors and with modest requirements, allowing a broader adoption of computer vision applications in both professional and amateur settings. …”
    Save to List
    Saved in:
    Access source
  11. 11

    Temporal pattern attention for multivariate time series of tennis strokes classification

    Skublewska-Paszkowska, M., Powroznik, P.
    Published in Sensors (2023)
    “…It interacts with many aspects of Computer Vision, Machine Learning, Deep Learning and Image Processing in order to understand human behaviours as well as identify them. …”
    Save to List
    Saved in:
    Access source
  12. 12

    SwimmerNET: underwater 2D swimmer pose estimation exploiting fully convolutional neural networks

    Giulietti, N., Caputo, A., Chiariotti, P., Castellini, P.
    Published in Sensors (2023)
    “…In this work we introduce swimmerNET, a new marker-less 2D swimmer pose estimation approach based on the combined use of computer vision algorithms and fully convolutional neural networks. …”
    Save to List
    Saved in:
    Access source
  13. 13

    Prediction of shuttle trajectory in badminton using player's position

    Nokihara, Y., Hori, R., Hachiuma, R., Saito, H. “…Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications…”
    Save to List
    Saved in:
    Access source
  14. 14

    Estimating ground reaction forces from two-dimensional pose data: a biomechanics-based comparison of AlphaPose, BlazePose, and OpenPose

    Mundt, M., Born, Z., Goldacre, M., Alderson, J.
    Published in Sensors (2023)
    “…The adoption of computer vision pose estimation approaches, used to identify keypoint locations which are intended to reflect the necessary anatomical landmarks relied upon by biomechanists for musculoskeletal modelling, has gained increasing traction in recent years. …”
    Save to List
    Saved in:
    Access source
  15. 15

    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.
    Save to List
    Saved in:
    Access source
  16. 16

    Estimation of center of mass for sports scene using weighted visual hull

    Kaichi, T., Mori, S., Saito, H., Takahashi, K., Mikami, D., Isogawa, M., Kimata, H.
    Save to List
    Saved in:
    Access source
  17. 17

    Investigation on combining 3D convolution of image data and optical flow to generate temporal action proposals

    Schlosser, P., Münch, D., Arens, M.
    Save to List
    Saved in:
    Access source
  18. 18

    Classification of puck possession events in ice hockey

    Tora, M. R., Chen, J., Little, J. J.
    Save to List
    Saved in:
    Access source
  19. 19

    Accurate and efficient 3D human pose estimation algorithm using single depth images for pose analysis in golf

    Park, S., Chang, J. Y., Jeong, H., Lee, J.-H., Park, J.-Y.
    Save to List
    Saved in:
    Access source
  20. 20

    Athlete pose estimation by a global-local network

    Hwang, J., Park, S., Kwak, N.
    Save to List
    Saved in:
    Access source

Search Tools: