Tracking people in broadcast sports

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6376 LNCS, Issue , 2010, Pages 151-161

  Yao, Angela ^a   Uebersax, Dominique ^a   Gall, Juergen ^a   Van Gool, Luc ^a,b  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

PARTICLE FILTER; SPORTS VIDEO; TARGET DETECTION; TARGET LOCATION;

MOTION ESTIMATION; OPTICAL FLOWS; PATTERN RECOGNITION;

TARGET TRACKING;

EID: 78349289333     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15986-2_16     Document Type: Conference Paper

References (24)

1. Kang, J., Cohen, I., Medioni, G.: Soccer player tracking across uncalibrated camera streams. In: IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS (2003)
2. Choi, K., Seo, Y., Lee, S.: Probabilistic tracking of soccer players and ball. In: ACCV (2004)
3. Okuma, K., Taleghani, A., de Freitas, N., Little, J., Lowe, D.: A boosted particle filter: Multitarget detection and tracking. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 28-39. Springer, Heidelberg (2004)
4. Kristan, M., Pers, J., Perse, M., Kovacic, S.: Closed-world tracking of multiple interacting targets for indoor-sports applications. CVIU 113(5), 598-611 (2009)
5. Breitenstein, M., Reichlin, F., Leibe, B., Koller-Meier, E., Gool, L.V.: Robust tracking-by-detection using a detector confidence particle filter. In: ICCV (2009)
6. Hess, R., Fern, A.: Discriminatively trained particle filters for complex multi-object tracking. In: CVPR (2009)
7. Doucet, A., Freitas, N.D., Gordon, N. (eds.): Sequential Monte Carlo Methods in Practice. Springer, New York (2001)
8. Gall, J., Lempitsky, V.: Class-specific hough forests for object detection. In: CVPR (2009)
9. Rodriguez, M.D., Ahmed, J., Shah, M.: Action mach a spatio-temporal maximum average correlation height filter for action recognition. In: CVPR (2008)
10. Ferryman, J., Shahrokni, A.: Pets2009: Dataset and challenge. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (2009)
11. Sullivan, J., Carlsson, S.: Tracking and labelling of interacting multiple targets. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 232-244. Springer, Heidelberg (2006)
12. Lu, W.L., Little, J.J.: Tracking and recognizing actions at a distance. In: Proceedings of the ECCV Workshop on Computer Vision Based Analysis in Sport Environments (CVBASE 2006), Graz, Austria (May 2006)
13. Liu, G., Tang, X., Cheng, H.D., Huang, J., Liu, J.: A novel approach for tracking high speed skaters in sports using a panning camera. Pattern Recogn. 42(11), 2922-2935 (2009)
14. Khatoonabadi, S.H., Rahmati, M.: Automatic soccer players tracking in goal scenes by camera motion elimination. Image Vision Comput. 27(4), 469-479 (2009)
15. Collins, R., Liu, Y., Leordeanu, M.: On-line selection of discriminative tracking features. TPAMI 27(1), 1631 (2005)
16. Grabner, H., Leistner, C., Bischof, H.: Semi-supervised on-line boosting for robust tracking. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 234-247. Springer, Heidelberg (2008)
17. Babenko, B., Yang, M.H., Belongie, S.: Visual tracking with online multiple instance learning. In: CVPR (2009)
18. Andriluka, M., Roth, S., Schiele, B.: People-tracking-by-detection and people-detection- by-tracking. In: CVPR (2008)
19. Leibe, B., Leonardis, A., Schiele, B.: Robust object detection with interleaved categorization and segmentation. IJCV 77(1-3), 259-289 (2008)
20. Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments-based tracking using the integral histogram. In: CVPR (2006)
21. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)
22. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. TPAMI 24(7), 971-987 (2002)
23. Brox, T., Bruhn, A., Papenberg, N., Weickert, J.: High accuracy optical flow estimation based on a theory for warping. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 25-36. Springer, Heidelberg (2004)
24. Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge, VOC 2007 Results (2007), http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html