By a News Reporter-Staff News Editor at Computer Weekly News -- Current study results on Computers - Computer Programming have been published. According to news reporting from Constance, Germany, by VerticalNews journalists, research stated, “Analysts in professional team sport regularly perform analysis to gain strategic and tactical insights into player and team behavior. Goals of team sport analysis regularly include identification of weaknesses of opposing teams. or assessing performance and improvement potential of a coached team.”
Financial support for this research came from ERC.
The news correspondents obtained a quote from the research from the University of Konstanz, “Current analysis workflows are typically based on the analysis of team videos. Also, analysts can rely on techniques from Information Visualization. to depict e.g., player or ball trajectories. However. video analysis is typically a time-consuming process. where the analyst needs to memorize and annotate scenes. In contrast. visualization typically relies on an abstract data model, often using abstract visual mappings. and is not directly linked to the observed movement context anymore. We propose a visual analytics system that tightly integrates team sport video recordings with abstract visualization of underlying trajectory data. We apply appropriate computer vision techniques to extract trajectory data from video input. Furthermore, we apply advanced trajectory and movement analysis techniques to derive relevant team sport analytic measures for region. event and player analysis in the case of soccer analysis. Our system seamlessly integrates video and visualization modalities, enabling analysts to draw on the advantages of both analysis forms.”
According to the news reporters, the research concluded: “Several expert studies conducted with team sport analysts indicate the effectiveness of our integrated approach.”
For more information on this research see: Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis. IEEE Transactions on Visualization and Computer Graphics , 2018;24(1):13-22. IEEE Transactions on Visualization and Computer Graphics can be contacted at: Ieee Computer Soc, 10662 Los Vaqueros Circle, PO Box 3014, Los Alamitos, CA 90720-1314, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Transactions on Visualization and Computer Graphics - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2945)
Our news journalists report that additional information may be obtained by contacting M. Stein, University of Konstanz, Constance, Germany. Additional authors for this research include H. Janetzko, A. Lamprecht, T. Breitkreutz, P. Zimmermann, B. Goldlucke, T. Schreck, G. Andrienko, M. Grossniklaus and D.A. Keim.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TVCG.2017.2745181. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-01-10), Researchers at University of Konstanz Release New Data on Computer Programming (Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis), Computer Weekly News, 612, ISSN: 1944-1606, BUTTER® ID: 014933956
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