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Consensus-based trajectory estimation for ball detection in calibrated cameras systems

Bibliographic reference Parisot, Pascaline ; De Vleeschouwer, Christophe. Consensus-based trajectory estimation for ball detection in calibrated cameras systems. In: Journal of Real-Time Image Processing, Vol. 2016, no.Sept, p. 1-16 (September 2016)
Permanent URL http://hdl.handle.net/2078.1/177090
  1. Amit Kumar, K.C., Parisot, P., De Vleeschouwer, C.: Demo: Spatio-temporal template matching for ball detection. In: ICDSC (2011)
  2. Parisot Pascaline, De Vleeschouwer Christophe, Graph-based filtering of ballistic trajectory, 10.1109/icme.2011.6012126
  3. Parisot Pascaline, Sevilmiş Berk, De Vleeschouwer Christophe, Training with Corrupted Labels to Reinforce a Probably Correct Teamsport Player Detector, Advanced Concepts for Intelligent Vision Systems (2013) ISBN:9783319028941 p.682-694, 10.1007/978-3-319-02895-8_61
  4. Delannay, D., Danhier, N., De Vleeschouwer, C.: Detection and recognition of sports (wo)men from multiple views. In: ACM/IEEE ICDSC, pp. 1–7 (2009)
  5. Fernández Iván Alén, Chen Fan, Lavigne Fabien, Desurmont Xavier, Vleeschouwer Christophe De, Browsing Sport Content through an Interactive H.264 Streaming Session, 10.1109/mmedia.2010.28
  6. Chen Fan, Delannay Damien, De Vleeschouwer Christophe, An Autonomous Framework to Produce and Distribute Personalized Team-Sport Video Summaries: A Basketball Case Study, 10.1109/tmm.2011.2166379
  7. Chen, F., De Vleeschouwer, C.: Personalized production of basketball videos from multi-sensored data under limited display resolution. CVIU 114(6), 667–680 (2010)
  8. Keemotion: Keemotion production technology. http://www.keemotion.com
  9. Sun, L., De Neyer, Q., De Vleeschouwer, C.: Multimode spatiotemporal background modeling for complex scenes. In: EUSIPCO, pp. 165–169 (2012)
  10. Stauffer C., Grimson W.E.L., Adaptive background mixture models for real-time tracking, 10.1109/cvpr.1999.784637
  11. Horprasert, T., Harwood, D., Davis, L.: A statistical approach for real-time robust background subtraction and shadow detection. In: ICCV, pp. 1–19 (1999)
  12. Reddy, V., Sanderson, C., Lovell, B.: Improved foreground detection via block-based classifier cascade with probabilistic decision integration. IEEE TCSVT 23(1), 83–93 (2013)
  13. Zhou, J., Hoang, J.: Real time robust human detection and tracking system. In: CVPR (2005)
  14. Cavallaro, A., Steiger, O., Ebrahimi, T.: Semantic video analysis for adaptive content delivery and automatic description. IEEE TCSVT 15(10), 1200–1209 (2005)
  15. Khan Saad M., Shah Mubarak, A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint, Computer Vision – ECCV 2006 (2006) ISBN:9783540338383 p.133-146, 10.1007/11744085_11
  16. Fleuret F., Berclaz J., Lengagne R., Fua P., Multicamera People Tracking with a Probabilistic Occupancy Map, 10.1109/tpami.2007.1174
  17. Alahi, A., Jacques, L., Boursier, Y., Vandergheynst, P.: Sparsity driven people localization with a heterogeneous network of cameras. J. MIV 41(1–2), 39–58 (2011)
  18. Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: a benchmark. In: CVPR (2009)
  19. Felzenszwalb P F, Girshick R B, McAllester D, Ramanan D, Object Detection with Discriminatively Trained Part-Based Models, 10.1109/tpami.2009.167
  20. Viola, P., Jones, M.: Robust real-time object detection. In: International Workshop on SCTV (2001)
  21. Hawk-Eye: Hawk-Eye ball tracking system. http://www.hawkeyeinnovations.co.uk/page/sports-officiating
  22. Yan F., Christmas W., Kittler J., A Tennis Ball Tracking Algorithm for Automatic Annotation of Tennis Match, 10.5244/c.19.67
  23. Choi Kyuhyoung, Seo Yongdeuk, Probabilistic Tracking of the Soccer Ball, Lecture Notes in Computer Science (2004) ISBN:9783540239895 p.50-60, 10.1007/978-3-540-30212-4_5
  24. Public, Apidis dataset, ball detection ground-truth, and code samples. http://sites.uclouvain.be/ispgroup/index.php/Softwares/APIDIS
  25. Yi Zhang, Hanqing Lu, Changsheng Xu, Collaborate ball and player trajectory extraction in broadcast soccer video, 10.1109/icpr.2008.4761402
  26. Wang, X., Ablavsky, V., Ben Shitrit, H., Fua, P.: Take your eyes off the ball: improving ball-tracking by focusing on team play. CVIU 119, 102–115 (2014)
  27. Wang Xinchao, Türetken Engin, Fleuret François, Fua Pascal, Tracking Interacting Objects Optimally Using Integer Programming, Computer Vision – ECCV 2014 (2014) ISBN:9783319105895 p.17-32, 10.1007/978-3-319-10590-1_2
  28. Lampert Christoph H., Peters Jan, Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components, 10.1007/s11554-010-0168-3
  29. Jinchang Ren, Ming Xu, Orwell J., Jones G.A., Real-Time Modeling of 3-D Soccer Ball Trajectories From Multiple Fixed Cameras, 10.1109/tcsvt.2008.918276
  30. Labayen Mikel, Olaizola Igor G., Aginako Naiara, Florez Julian, Accurate ball trajectory tracking and 3D visualization for computer-assisted sports broadcast, 10.1007/s11042-013-1558-x
  31. Chen, H.-T., Tien, M.-C., Chen, Y.-W., Tsai, W.-J., Lee, S.-Y.: Physics-based ball tracking and 3D trajectory reconstruction with applications to shooting location estimation in basketball video. J. VCIR 20(3), 204–216 (2009)
  32. Yan, F., Kostin, A., Christmas, W., Kittler, J.: A novel data association algorithm for object tracking in clutter with application to tennis video analysis. In: CVPR, pp. 634–641 (2006)
  33. Zhou Xiangzeng, Huang Qiang, Xie Lei, Cox Stephen, A two layered data association approach for ball tracking, 10.1109/icassp.2013.6638068
  34. Chen Hua-Tsung, Tsai Wen-Jiin, Lee Suh-Yin, Yu Jen-Yu, Ball tracking and 3D trajectory approximation with applications to tactics analysis from single-camera volleyball sequences, 10.1007/s11042-011-0833-y
  35. Chakraborty Bodhisattwa, Meher Sukadev, A real-time trajectory-based ball detection-and-tracking framework for basketball video, 10.1007/s12596-012-0108-7
  36. Poiesi Fabio, Daniyal Fahad, Cavallaro Andrea, Detector-less ball localization using context and motion flow analysis, 10.1109/icip.2010.5651147
  37. Kim Kihwan, Grundmann Matthias, Shamir Ariel, Matthews Iain, Hodgins Jessica, Essa Irfan, Motion fields to predict play evolution in dynamic sport scenes, 10.1109/cvpr.2010.5540128
  38. Ohno Y., Miura J., Shirai Y., Tracking players and estimation of the 3D position of a ball in soccer games, 10.1109/icpr.2000.905293
  39. Leo, M., Mosca, N., Spagnolo, P., Mazzeo, P., D’Orazio, T., Distant, A.: Real-time multi-view analysis of soccer matches for understanding interactions between ball and players. In: ACM International Conference on Image and Video Retrieval (2008)
  40. Maksai, A., Wang, X., Fua, P.: What players do with the ball: a physically constrained interaction modeling. In: CVPR (2016)
  41. Viola Paul, Jones Michael J., Robust Real-Time Face Detection, 10.1023/b:visi.0000013087.49260.fb
  42. SportVU: STATS SportVU technology. http://www.stats.com/sportvu/sportvu.asp
  43. Fischler Martin A., Bolles Robert C., Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, 10.1145/358669.358692
  44. Gross, J.T., Yellen, J.: Graph Theory and its Applications. CRC Press, Boca Raton (1999)
  45. Videos, Ball tracks. http://sites.uclouvain.be/ispgroup/index.php/Research/BallTrac
  46. Chen, F., Delannay, D., De Vleeschouwer, C.: Multi-sensored vision for autonomous production of personalized video summaries. In: International ICST Conference on User Centric Media (2010)
  47. Perše, M., Kristan, M., Kovačič, S., Vučkovič, G., Perš, J.: A trajectory-based analysis of coordinated team activity in a basketball game. CVIU 113, 612–621 (2009)
  48. Porikli F., Integral histogram: a fast way to extract histograms in Cartesian spaces, 10.1109/cvpr.2005.188