Real-time modeling of 3-D soccer ball trajectories from multiple fixed cameras

Ren, Jinchang and Xu, M. and Orwell, J. and Jones, G. (2008) Real-time modeling of 3-D soccer ball trajectories from multiple fixed cameras. IEEE Transactions on Circuits and Systems for Video Technology, 18 (3). pp. 350-362. ISSN 1051-8215

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    Abstract

    In this paper, model-based approaches for real-time 3-D soccer ball tracking are proposed, using image sequences from multiple fixed cameras as input. The main challenges include filtering false alarms, tracking through missing observations, and estimating 3-D positions from single or multiple cameras. The key innovations are: 1. incorporating motion cues and temporal hysteresis thresholding in ball detection; 2. modeling each ball trajectory as curve segments in successive virtual vertical planes so that the 3-D position of the ball can be determined from a single camera view; and 3. introducing four motion phases (rolling, flying, in possession, and out of play) and employing phase-specific models to estimate ball trajectories which enables high-level semantics applied in low-level tracking. In addition, unreliable or missing ball observations are recovered using spatio-temporal constraints and temporal filtering. The system accuracy and robustness are evaluated by comparing the estimated ball positions and phases with manual ground-truth data of real soccer sequences.

    Creators(s): Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Xu, M., Orwell, J. and Jones, G.;
    Item type:Article
    ID code:29273
    Keywords:ball trajectory, modelling, estimation theory, image motion analysis, Electrical engineering. Electronics Nuclear engineering, Media Technology, Electrical and Electronic Engineering
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:15 Mar 2011 14:44
    Last modified:20 Jan 2021 19:12
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/29273
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