avtomatska analiza gibanja v izbranih moštvenih športnih igrah

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114 Literatura [39] F. Li. Description, analysis and prediction of player actions in selected hockey game situations. master’s thesis,. Master’s thesis, University of British Columbia, 2004. [40] C. Castel, L. Chaudron, and C. Tessier. What is going on? A high level interpretation of sequences of images. In Proc. of the Workshop on Conceptual Descriptions from Images (ECCV, 96), pages 13–27, 1996. [41] G. Lavee, A. Borzin, E. Rivlin, and M. Rudzsky. Building Petri Nets from Video Event Ontologies. In ISVC07, pages 442–451, 2007. [42] N.M. Ghanem, D.F. DeMenthon, D. Doermann, and L.S. Davis. Representation and Recognition of Events in Surveillance Video Using Petri Nets. In EventVideo04, pages 112–120, 2004. [43] Y. Shi, Y. Huang, D. Minnen, A. Bobick, and I. Essa. Propagation Networks for Recognition of Partially Ordered Sequential Action. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), pages 862–870. IEEE Computer Society, June 2004. [44] Y. Shi, A. Bobick, and I. Essa. Learning Temporal Sequence Model from Partially Labeled Data. In CVPR’06. IEEE Computer Society, 2006. [45] B. Deˇzman. Osnove teorije treniranja v izbranih moˇstvenih ˇsportnih igrah. Fakulteta za ˇsport, Univeza v Ljubljani, 1999. [46] M. M. Cilenˇsek. Osnove tehnične in taktične priprave mladih koˇsarkarjev. Agencija Studio Trg, 2001. [47] B. Deˇzman. Osnove teorije treniranja v izbranih moˇstvenih ˇsportnih igrah. Ljubljana: Univerza v Ljubljani, Fakulteta za ˇsport, Inˇstitut za ˇsport, 2005. [48] B. Deˇzman. Koˇsarka za mlade igralce in igralke. Ljubljana:. Fakulteta za ˇsport, Inˇstitut za ˇsport., 2004. [49] D. Hahnel, W. Burgard, D. Fox, K. Fishkin, and M. Philipose. Mapping and localization with RFID technology. Robotics and Automation, 2004. Proceedings. ICRA ’04. 2004 IEEE International Conference on, 1:1015– 1020 Vol.1, April-1 May 2004.
Literatura 115 [50] Yimin Zhang, Moeness G. Amin, and Shashank Kaushik. Localization and Tracking of Passive RFID Tags Based on Direction Estimation. International Journal of Antennas and Propagation, 1:in Print, 2007. [51] J. Perˇs. Sledenje ljudi z metodami računalniˇskega vida. Master’s thesis, Fakulteta za elektrotehniko, Univerza v Ljubljani, 2001. [52] M. Kristan. Sekvenčne monte carlo metode za sledenje oseb v računalniˇskem vidu m.sc. thesis,. Master’s thesis, Fakulteta za elektrotehniko, Univerza v Ljubljani, 2005. [53] Matej Perse Stanislav Kovacic. Janez Pers, Matej Kristan. Analysis of Player Motion in Sport Matches. In Arnold Baca , Martin Lames, Keith Lyons, Bernhard Nebel, Josef Wiemeyer (eds.), Computer Science in Sport - Mission and Methods, (Dagstuhl Seminar Proceedings, no.08372), Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany., 2008. [54] M Kristan, J. Perˇs, M. Perˇse, and Kovačič S. Implementacija algoritma Condensation v domeni zaprtega sveta. Proceedings of the thirteenth Electrotechnical and Computer Science Conference ERK’04, B:179–182, September 2004. [55] M. Kristan, J. Perˇs, M. Perˇse, and S. Kovačič. Closed-world tracking of multiple interacting targets for indoor-sports applications. Computer Vision and Image Understanding, 1:In press, March 2008. [56] M. Perˇse, M. Kristan, J. Perˇs, G. Vučkovič, and S. Kovačič. Physics-Based Modelling of Human Motion using Kalman Filter and Collision Avoidance Algorithm. In International Symposium on Image and Signal Processing and Analysis, ISPA05, Zagreb, Croatia, pages 328–333, September 2005. [57] J. Perˇs, M. Bon, and S. Kovačič. Errors and Mistakes in Automated Player Tracking. In B. Likar (ed.), Proceedings of the Sixth Computer Vision Winter Workshop CVWW’01, Bled, Slovenia, page 25–36, February 2001. [58] M. Perˇse, M. Kristan, J. Perˇs, G. Vučkovič, and S. Kovačič. A Template- Based Multi-Player Action Recognition of the Basketball Game. In In: Janez Pers, Derek R. Magee (eds.), Proceedings of the ECCV Workshop on Computer Vision Based Analysis in Sport Environments, Graz, Austria, pages 71–82, May 2006.
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Univerza v Ljubljani Fakulteta za e
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Zahvala ”Čeprav si igral tekmo s
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Na podlagi segmentacije dobimo mno
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Abstract This thesis is focused on
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developed system is a result of col
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3.2.1 Klasifikacija posameznih vzor
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ˇZivljenjepis 145 Bibliografija 14
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2 Uvod Na vseh naˇstetih področji
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4 Uvod kar M n različnih stanj. V
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6 Uvod 1.1.1 Hierarhična analiza s
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8 Uvod mnoˇzico ˇsablon, ki so sh
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10 Uvod člankov lahko ugotovimo, d
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12 Uvod in hitrosti gibanja, ki sta
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14 Uvod pa je ponazorjeno s prehodi
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16 Uvod akcij) uporabljena dognanja
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18 Struktura moˇstvenih iger in pr
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Poglavje 3 Časovna segmentacija mo
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28 Časovna segmentacija moˇstveni
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Poglavje 4 Razpoznavanje aktivnosti
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48 Razpoznavanje aktivnosti ta nač
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50 Razpoznavanje aktivnosti wn = N(
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52 Razpoznavanje aktivnosti 4.2 Raz
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54 Razpoznavanje aktivnosti teh pra
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56 Razpoznavanje aktivnosti Celotno
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58 Razpoznavanje aktivnosti Igralec
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60 Razpoznavanje aktivnosti lahko p
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62 Razpoznavanje aktivnosti 0.9 0.8
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Page 124 and 125: 106 Zaključki Prispevek 1: Metoda
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Page 130 and 131: 112 Literatura Bayesian networks. C
Page 134 and 135: 116 Literatura [59] W. S. Erdmann.
Page 136 and 137: 118 Literatura [81] Kurt Jensen. Co
Page 138 and 139: 120 Literatura [104] Nikola Paveˇs
Page 140 and 141: 122 Dodatek ˇSablona ”Motion”
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Page 160 and 161: 142 Dodatek koraku lahko tako pride
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Page 164 and 165: 146 Izobrazba ˇ Zivljenjepis 1998
Page 166 and 167: 148 Objavljena dela [7] M. Perˇse,
Page 168 and 169: 150 Objavljena dela [22] J. Perˇs,
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avtomatska analiza gibanja v izbranih moštvenih športnih igrah

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