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Team behaviour analysis in sports using the poisson equation

Direkoglu, Cem and O'Connor, Noel E. (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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Abstract

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.

Item Type:Conference or Workshop Item (Lecture)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Feature extraction; Poisson equation; computer vision; video analysis; team sports
Subjects:Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:17546
Deposited On:11 Oct 2012 14:17 by Noel O'Connor. Last Modified 11 Oct 2012 14:17

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