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Team behaviour analysis in sports using the poisson equation
Direkoglu, Cem; O'Connor, Noel E.
We propose a novel physics-based model for analysing team play- ers’ positions and movements on a sports playing field. The goal is to detect for each frame the region with the highest population of a given team’s players and the region towards which the team is moving as they press for territorial advancement, termed the region of intent. Given the positions of team players from a plan view of the playing field at any given time, we solve a particular Poisson equation to generate a smooth distribution. The proposed distribu- tion provides the likelihood of a point to be occupied by players so that more highly populated regions can be detected by appropriate thresholding. Computing the proposed distribution for each frame provides a sequence of distributions, which we process to detect the region of intent at any time during the game. Our model is evalu- ated on a field hockey dataset, and results show that the proposed approach can provide effective features that could be used to gener- ate team statistics useful for performance evaluation or broadcasting purposes.
Keyword(s): Image processing; Feature extraction; Poisson equation; computer vision; video analysis; team sports
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Direkoglu, Cem and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <> (2012) Team behaviour analysis in sports using the poisson equation. In: IEEE International Conference on Image Processing, 30 Sept - 03 Oct 2012, Orlando, Florida.
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First Indexed: 2012-10-12 05:05:33 Last Updated: 2019-02-09 06:40:03