Soccer Formation Classification Based on Fisher Weight Map and Gaussian Mixture Models
This paper proposes a method that analyzes player formations in order to classify kick and throw-in events in soccer matches. Formations are described in terms of local head counts and mean velocities, which are converted into canonical variates using a F
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Subseries of Lecture Notes in Computer Science
4938
Takenobu Tokunaga Antonio Ortega (Eds.)
Large-Scale Knowledge Resources Construction and Application Third International Conference on Large-Scale Knowledge Resources, LKR 2008 Tokyo, Japan, March 3-5, 2008 Proceedings
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Takenobu Tokunaga Tokyo Institute of Technology Department of Computer Science Tokyo Meguro Oookayama 2-12-1 152-8552 Japan E-mail: [email protected] Antonio Ortega University of Southern California Signal and Image Processing Institute Department of Electrical Engineering Los Angeles, CA 90089-2564, USA E-mail: [email protected]
Library of Congress Control Number: 2008920448
CR Subject Classification (1998): I.2.7, I.2, I.4, I.5, H.3, H.5 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-78158-7 Springer Berlin Heidelberg New York 978-3-540-78158-5 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12227532 06/3180 543210
Preface
At the start of the 21st century, we are now well on the way towards a knowledgeintensive society, in which knowledge plays ever more important roles. Thus, research interest should inevitably shift from information to knowledge, with the problems of building, organizing, maintaining and utilizing knowledge becoming central issues in a wide variety of fields. The 21st Century COE program “Framework for Systematization and Application of Large-scale Knowledge Resources (COE-LKR)” conducted by the Tokyo Institute of Technology is one of several early attempts worldwide to address these important issues. Inspired by this project, LKR2008 aimed at bringing together diverse contributions in cognitive science, computer science, education and linguistics to explore design, construction, extension, maintenance, validation and application of knowledge. Responding to our call for papers, we received 38 submission from a variety of research areas. Each paper was reviewed by three Program Committee members. Since we were aiming at an interdisciplinary conference covering a wide range of topics concer
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