Accurate ball trajectory tracking and 3D visualization for computer-assisted sports broadcast

被引:0
|
作者
Mikel Labayen
Igor G. Olaizola
Naiara Aginako
Julian Florez
机构
[1] Vicomtech - Ik4 Research Alliance,Department of Digital Television and Multimedia Services
来源
Multimedia Tools and Applications | 2014年 / 73卷
关键词
Computer graphics; Camera calibration; Tracking; Segmentation; Sports events broadcast;
D O I
暂无
中图分类号
学科分类号
摘要
The application of computer-aided controversial plays resolution in sport events significantly benefits organizers, referees and audience. Nowadays, especially in ball sports, very accurate technological solutions can be found. The main drawback of these systems is the need of complex and expensive hardware which makes them not affordable for less-known regional/traditional sports events. The lack of competitive systems with reduced hardware/software complexity and requirements motivates this research. Visual Analytics technologies permit system detecting the ball trajectory, solving with precision possible controversial plays. Ball is extracted from the video scene exploiting its shape features and velocity vector properties. Afterwards, its relative position to border line is calculated based on polynomial approximations. In order to enhance user visual experience, real-time rendering technologies are introduced to obtain virtual 3D reconstruction in quasi real-time. Comparing to other set ups, the main contribution of this work lays on the utilization of an unique camera per border line to extract 3D bounce point information. In addition, the system has no camera location/orientation limit, provided that line view is not occluded. Testing of the system has been done in real world scenarios, comparing the system output with referees’ judgment. Visual results of the system have been broadcasted during Basque Pelota matches.
引用
收藏
页码:1819 / 1842
页数:23
相关论文
共 32 条
  • [31] Energy-efficient joint UAV secure communication and 3D trajectory optimization assisted by reconfigurable intelligent surfaces in the presence of eavesdroppers
    Huang, Hailong
    Eskandari, Mohsen
    Savkin, Andrey, V
    Ni, Wei
    DEFENCE TECHNOLOGY, 2024, 31 : 537 - 543
  • [32] A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth
    Bernotas, Gytis
    Scorza, Livia C. T.
    Hansen, Mark F.
    Hales, Ian J.
    Halliday, Karen J.
    Smith, Lyndon N.
    Smith, Melvyn L.
    McCormick, Alistair J.
    GIGASCIENCE, 2019, 8 (05):