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Practical Implementation of Computational Tactical Metrics for the Football Game
- 作者:Filipe Manuel Clemente (23) (24) (25)
Micael Santos Couceiro (26) (27) Fernando Manuel Louren?o Martins (23) (24) Rui Sousa Mendes (24) António José Figueiredo (25) (28)
- 关键词:Practical Implementations ; Match Analysis ; Football ; Tactical Metrics ; Augmented Reality ; Tracking
- 刊名:Lecture Notes in Computer Science
- 出版年:2014
- 出版时间:2014
- 年:2014
- 卷:8579
- 期:1
- 页码:712-727
- 全文大小:616 KB
- 参考文献:1. Clemente, F.M., Couceiro, M.S., Martins, F.M., Mendes, R., Figueiredo, A.J.: Measuring tactical behaviour using technological metrics: Case study of a football game. Int. J. Sports Sci. Coaching?8, 723-39 (2013) ss="external" href="http://dx.doi.org/10.1260/1747-9541.8.4.723" target="_blank" title="It opens in new window">CrossRef
2. Carling, C., Williams, A.M., Reilly, T.: Handbook of Soccer Match Analysis: A Systematic Approach to Improving Performance. Taylor & Francis Group, London (2005) ss="external" href="http://dx.doi.org/10.4324/9780203448625" target="_blank" title="It opens in new window">CrossRef 3. Clemente, F.M., Couceiro, M.S., Martins, F.M., Mendes, R.: An Online Tactical Metrics Applied to Football Game. Res. J. Appl. Sci. Eng. Tech.?5, 1700-719 (2013) 4. Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E., Ivkovic, M.: Augmented reality technologies, systems and applications. Multimed. Tools Appl.?51, 341-77 (2011) ss="external" href="http://dx.doi.org/10.1007/s11042-010-0660-6" target="_blank" title="It opens in new window">CrossRef 5. Frencken, W., Lemmink, K., Delleman, N., Visscher, C.: Oscillations of centroid position and surface area of football teams in small-sided games. Eur. J. Sport Sci.?11, 215-23 (2011) ss="external" href="http://dx.doi.org/10.1080/17461391.2010.499967" target="_blank" title="It opens in new window">CrossRef 6. Bourbousson, J., Sève, C., McGarry, T.: Space-time coordination dynamics in basketball: Part 2 The interaction between the two teams. J. Sport. Sci.?28, 349-58 (2010) ss="external" href="http://dx.doi.org/10.1080/02640410903503640" target="_blank" title="It opens in new window">CrossRef 7. Vilar, L., Araújo, D., Davids, K., Bar-Yam, Y.: Science of winning football: emergent pattern-forming dynamics in association football. J. Syst. Sci. Complex.?26, 73-4 (2013) ss="external" href="http://dx.doi.org/10.1007/s11424-013-2286-z" target="_blank" title="It opens in new window">CrossRef 8. Surhone, L.M., Tennoe, M.T., Henssonow, S.F.: Nearest-Neighbor Interpolation: Multivariate interpolation, dimension, interpolation. Betascript Publishing, United States (2010) 9. Clemente, F.M., Couceiro, M.S., Martins, F.M.L., Mendes, R., Figueiredo, A.J.: Measuring Collective Behaviour in Football Teams: Inspecting the impact of each half of the match on ball possession. Int. J. Perform. Anal. Sport?13, 678-89 (2013) 10. Couceiro, M.S., Clemente, F.M., Martins, F.M.L.: Analysis of football player’s motion in view of fractional calculus. Cent. Eur. J. Phys.?11, 714-23 (2013) ss="external" href="http://dx.doi.org/10.2478/s11534-013-0258-5" target="_blank" title="It opens in new window">CrossRef 11. Carling, C., Bloomfield, J., Nelsen, L., Reilly, T.: The role of motion analysis in elite soccer. Sports Med.?38, 839-62 (2008) ss="external" href="http://dx.doi.org/10.2165/00007256-200838100-00004" target="_blank" title="It opens in new window">CrossRef 12. Santiago, C.B., Sousa, A., Reis, L.P., Estriga, M.L.: Real time colour based player tracking in indoor sports. In: Computational Vision and Medical Image Processing, pp. 17-5. Springer, Netherlands (2011) ss="external" href="http://dx.doi.org/10.1007/978-94-007-0011-6_2" target="_blank" title="It opens in new window">CrossRef 13. Dearden, A., Demiris, Y., Grau, O.: Tracking football player movement from a single moving camera using particle filters. In: Proceedings of the 3rd European Conference on Visual Media Production (CVMP-2006), London, pp. 29-7 (2006) 14. van Krevelen, D.W.F., Poelman, R.: A Survey of Augmented Reality Technologies, Applications and Limitations. Int. J. Virt. Real.?9, 1-0 (2010) 15. Milgram, P., Kishino, A.F.: Taxonomy of mixed reality visual displays. IEICE Transactions Info. Syst.?77, 1321-329 (1994) 16. Carmigniani, J., Furht, B.: Augmented Reality: An Overview. In: Furht, B. (ed.) Handbook of Augmented Reality, pp. 3-6. Springer, New York (2011) ss="external" href="http://dx.doi.org/10.1007/978-1-4614-0064-6_1" target="_blank" title="It opens in new window">CrossRef 17. Behringer, R., Tam, C., MCGee, J., Sundareswaran, S., Vassiliou, M.: A wearable augmented reality testbed for navigation and control, built solely with commercial-off-the-shelf (COTS) hardware. In: Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR 2000), Munich, Germany, pp. 12-9 (2000) 18. Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J. Internet Ser. Appl.?1, 7-8 (2010) ss="external" href="http://dx.doi.org/10.1007/s13174-010-0007-6" target="_blank" title="It opens in new window">CrossRef 19. Hong-jiang, W., Hai-yan, Z., Jing, Z.: Application of the cloud computing technology in the sports training. In: International Conference on Consumer Electronics, Communications and Networks (CECNet), Xianning, Hubei Province of China, pp. 162-65 (2013)
- 作者单位:Filipe Manuel Clemente (23) (24) (25)
Micael Santos Couceiro (26) (27) Fernando Manuel Louren?o Martins (23) (24) Rui Sousa Mendes (24) António José Figueiredo (25) (28)
23. Instituto de Telecomunica??es, Delega??o da Covilh?, Portugal 24. Polytechnic Institute of Coimbra, ESEC, DE, Portugal 25. Faculty of Sport Sciences and Physical Education, University of Coimbra, Portugal 26. Artificial Perception for Intelligent Systems and Robotics (AP4ISR), Institute of Systems and Robotics (ISR), University of Coimbra, Portugal 27. Ingeniarius, Lda., Mealhada, Portugal 28. CIDAF, Faculty of Sport Sciences and Physical Education, University of Coimbra, Portugal
- ISSN:1611-3349
文摘
Novel estimation, detection and identification techniques have been recently applied on sports, providing the cartesian positional information of players over time. This information has been seen as vital within sports science’s literature, so as to propose new computational tactical metrics that may allow to inspect the spatio-temporal relationship between teammates. Such technological approaches can improve the understanding of the collective match, providing to coaches and analysts a real-time augmented perception of the game. In spite of this, this study aims to identify, and computational describe, the most promising tactical metrics developed over the last few years and characterize their practical applications. Moreover, a technological approach that integrates these metrics will be discussed, focusing on the data retrieval, processing and visualization. Therefore, concepts such as Augmented Reality, Cloud Computing and Human-computer Interaction are considered to give the first steps toward a football game analysis system.
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