A two-stage dynamic model for visual tracking

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 40, Issue 6, 2010, Pages 1505-1520

  Kristan, Matej ^a   Kovačič, Stanislav ^a   Leonardis, Aleš ^a   Perš, Janez ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Blob tracking; dynamic models; particle filters; probabilistic tracking; two stage models

Indexed keywords

BLOB TRACKING; CENTER OF GRAVITY; CURRENT DYNAMICS; FAILURE RATE; HAND TRACKING; PARTICLE FILTER; PEDESTRIAN TRACKING; PROBABILISTIC TRACKING; TWO STAGE; TWO STAGE MODEL; VISUAL TRACKING;

DISTRIBUTED COMPUTER SYSTEMS; DYNAMICS; NONLINEAR FILTERING; TARGET TRACKING;

DYNAMIC MODELS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; METHODOLOGY; MOTION; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, THEORETICAL; MOTION; PATTERN RECOGNITION, AUTOMATED;

EID: 78649937337     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2010.2041662     Document Type: Article

References (55)

1. J. K. Aggarwal and Q. Cai, "Human motion analysis: A review", Comput. Vis. Image Underst., vol. 73, no. 3, pp. 428-440, Mar. 1999.
2. D. M. Gavrila, "The visual analysis of human movement: A survey", Comput. Vis. Image Underst., vol. 73, no. 1, pp. 82-98, Jan. 1999.
3. P. Gabriel, J. Verly, J. Piater, and A. Genon, "The state of the art in multiple object tracking under occlusion in video sequences", in Proc. Adv. Concepts Intell. Vis. Syst., 2003, pp. 166-173.
4. W. Hu, T. Tan, L. Wang, and S. Maybank, "A survey on visual surveillance of object motion and behaviors", IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 34, no. 3, pp. 334-352, Aug. 2004.
5. T. B. Moeslund and E. Granum, "A survey of computer vision-based human motion capture", Comput. Vis. Image Underst., vol. 81, no. 3, pp. 231-268, Mar. 2001.
6. T. B. Moeslund, A. Hilton, and V. Kruger, "A survey of advances in visionbased human motion capture and analysis", Comput. Vis. Image Underst., vol. 103, no. 2/3, pp. 90-126, Nov. 2006.
7. C. M. Bishop, Pattern Recognition and Machine Learning. New York: Springer Science+Business Media, LCC, 2006, ser. Information Science and Statistics.
8. R. E. Kalman, "A new approach to linear filtering and prediction problems", Trans. ASME, J. Basic Eng., vol. 82, pp. 34-45, 1960.
9. A. Doucet, N. de Freitas, and N. Gordon, Eds., Sequential Monte Carlo Methods in Practice. New York: Springer-Verlag, Jan. 2001.
10. M. K. Pitt and N. Shephard, "Filtering via simulation: Auxiliary particle filters", J. Amer. Stat. Assoc., vol. 94, no. 446, pp. 590-599, Jun. 1999.
11. P. Torma and C. Szepesvari, "On using likelihood-adjusted proposals in particle filtering: Local importance sampling", in Proc. Int. Symp. Image Signal Process. Anal., Sep. 2005, pp. 58-63.
12. K. Okuma, A. Taleghani, N. de Freitas, J. J. Little, and D. G. Lowe, "A boosted particle filter: Multitarget detection and tracking", in Proc. Eur. Conf. Comput. Vis., 2004, vol. 1, pp. 28-39.
13. A. Naeem, T. Pridmore, and S. Mills, "Managing particle spread via hybrid particle filter/kernel mean shift tracking", in Proc. Brit. Mach. Vis. Conf., 2007. [Online]. Available: http://www.dcs. warwick.ac.uk/bmvc2007/ proceedings/
14. H. Sidenbladh, M. J. Black, and L. Sigal, "Implicit probabilistic models of human motion for synthesis and tracking", in Proc. Eur. Conf. Comput. Vi s., 2002, pp. 784-800.
15. A. Agarwal and B. Triggs, "Tracking articulated motion with piecewise learned dynamical models", in Proc. Eur. Conf. Comput. Vis., 2004, vol. 3, pp. 54-65.
16. R. Urtasun, D. Fleet, and P. Fua, "3D people tracking with Gaussian process dynamic models", in Proc. Conf. Comput. Vis. Pattern Recog., 2006, vol. 1, pp. 238-245.
17. B. Li, Q. Meng, and H. Holstein, "Articulated pose identification with sparse point features", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 3, pp. 1412-1422, Jun. 2004.
18. X. Rong Li and V. P. Jilkov, "Survey of maneuvering target tracking: Dynamic models", IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 4, pp. 1333-1363, Oct. 2003.
19. Y. Bar-Shalom, X. R. Li, and T. Kirubarajan, Estimation With Applications to Tracking and Navigation. Hoboken, NJ: Wiley, 2001, ch. 11, pp. 438-440.
20. X. R. Li and Y. Bar-Shalom, "Performance prediction of the interacting multiple model algorithm", IEEE Trans. Aerosp. Electron. Syst., vol. 29, no. 3, pp. 755-771, Jul. 1993.
21. Y. Bar-Shalom, Ed., Multitarget/Multisensor Tracking: Applications and Advances. Storrs, CT: YBS Publishing, 1998.
22. K. J. Bradshaw, I. D. Reid, and D. W. Murray, "The active recovery of 3D motion trajectories and their use in prediction", IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 3, pp. 219-234, Mar. 1997.
23. S. McGinnity and G. Irwin, "Multiple model bootstrap filter for maneuvering target tracking", IEEE Trans. Aerosp. Electron. Syst., vol. 36, no. 3, pp. 1006-1012, Jul. 2000.
24. H. A. P. Blom and E. A. Bloem, "Exact Bayesian and particle filtering of stochastic hybrid systems", IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 1, pp. 55-70, Jan. 2007.
25. J. Xue, N. Zheng, J. Geng, and X. Zhong, "Tracking multiple visual targets via particle-based belief propagation", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 1, pp. 196-209, Feb. 2008.
26. P. Pérez, J. Vermaak, and A. Blake, "Data fusion for visual tracking with particles", Proc. IEEE, vol. 92, no. 3, pp. 495-513, Mar. 2004.
27. C. J. Needham, "Tracking and modelling of team game interactions", Ph. D. dissertation, School Comput., Univ. Leeds, Leeds, U. K., Oct. 2003.
28. A. Senior, "Tracking people with probabilistic appearance models", in Proc. Perform. Eval. Track. Surveillance Conjunction With ECCV, 2002, pp. 48-55.
29. C. Shan, T. Tan, and Y. Wei, "Real-time hand tracking using a mean shift embedded particle filter", Pattern Recognit., vol. 40, no. 7, pp. 1958-1970, Jul. 2007.
30. F. Pernkopf, "Tracking of multiple targets using online learning for reference model adaptation", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 6, pp. 1465-1475, Dec. 2008.
31. F. Talantzis, A. Pnevmatikakis, and A. G. Constantinides, "Audio-visual active speaker tracking in cluttered indoors environments", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 3, pp. 799-807, Jun. 2008.
32. J. Wang and Y. Yagi, "Adaptive mean-shift tracking with auxiliary particles", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 39, no. 6, pp. 1578-1589, Dec. 2009.
33. N. Bellotto and H. Hu, "Multisensor-based human detection and tracking for mobile service robots", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 39, no. 1, pp. 167-181, Feb. 2009.
34. M. Perse, J. Pers, M. Kristan, G. Vuckovic, and S. Kovačič, "Physicsbased modelling of human motion using Kalman filter and collision avoidance algorithm", in Proc. Int. Symp. Image Signal Process. Anal., Sep. 2005, pp. 328-333.
35. M. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking", IEEE Trans. Signal Process., vol. 50, no. 2, pp. 174-188, Feb. 2002.
36. N. J. Gordon, D. J. Salmond, and A. F. M. Smith, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation", in Proc. Inst. Elect. Eng.-Radar Signal Process., Apr. 1993, vol. 140, no. 2, pp. 107-113.
37. M. Isard and A. Blake, "CONDENSATION-Conditional density propagation for visual tracking", Int. J. Comput. Vis., vol. 29, no. 1, pp. 5-28, 1998.
38. R. A. Singer, "Estimating optimal tracking filter performance for manned maneuvering targets", IEEE Trans. Aerosp. Electron. Syst., vol. AES-6, no. 4, pp. 473-483, Jul. 1970.
39. R. A. Singer and K. W. Behnke, "Real-time tracking filter evaluation and selection for tactical applications", IEEE Trans. Aerosp. Electron. Syst., vol. AES-7, no. 1, pp. 100-110, Jan. 1971.
40. H. Zhou and K. S. P. Kumar, "A 'current' statistical model and adaptive algorithm for estimating maneuvering targets", AIAA J. Guid., vol. 7, no. 5, pp. 596-602, Sep./Oct. 1984.
41. R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering. Hoboken, NJ: Wiley, 1997.
42. M. Kristan, "Tracking people in video data using probabilistic models", Ph. D. dissertation, Faculty Elect. Eng., Univ. Ljubljana, Ljubljana, Slovenia, 2008.
43. P. Pérez, C. Hue, J. Vermaak, and M. Gangnet, "Color-based probabilistic tracking", in Proc. Eur. Conf. Comput. Vis., 2002, vol. 1, pp. 661-675.
44. K. Nummiaro, E. Koller-Meier, and L. Van Gool, "Color features for tracking non-rigid objects", Chin. J. Autom., vol. 29, no. 3, pp. 345-355, May 2003.
45. M. Kristan, J. Perš, M. Perše, M. Bon, and S. Kovaèiè, "Multiple interacting targets tracking with application to team sports", in Proc. Int. Symp. Image Signal Process. Anal., Sep. 2005, pp. 322-327.
46. M. Kristan, J. Perš, M. Perše, and S. Kovaèiè , "Closed-world tracking of multiple interacting targets for indoor-sports applications", Comput. Vis. Image Underst., vol. 113, no. 5, pp. 598-611, May 2009.
47. M. Bon, J. Perš, M. Šibila, and S. Kovaèiè, Analiza gibanja igralca med tekmo, V. Vuleta and A. Leonardis, Eds. Ljubljana, Slovenia: Faculty Sport, Univ. Ljubljana, 2001.
48. C. Kotzamanidis, K. Chatyikoloutas, and A. Gianakos, "Optimization of the training plan of the handball game", Handball: Periodical Coaches, Referees Lecturers, vol. 2, pp. 65-71, 1999.
49. W. S. Erdmann, "Gathering of kinematic data of sport event by televising the whole pitch and track", in Proc. Int. Soc. Biomech. Sports Symp., 1992, pp. 159-162.
50. J. Bangsbo, "The physiology of soccer: With special reference to intense intermittent exercise", Acta Physiol. Scand., vol. 619, pp. 1-155, 1994.
51. M. Kristan, J. Perš, S. Kovaèiè, and A. Leonardis, "A local-motion-based probabilistic model for visual tracking", Pattern Recognit., vol. 42, no. 9, pp. 2160-2168, Sep. 2009.
52. W. Du and J. Piater, "A probabilistic approach to integrating multiple cues in visual tracking", in Proc. 10th Eur. Conf. Comput. Vis., 2008, pp. 225-238.
53. W. L. Lu and J. J. Little, "Tracking and recognizing actions at a distance", in Proc. Workshop Comput. Vis. Based Anal. Sport Environ. Conjunction With ECCV, May 2006, pp. 49-60.
54. B. Stenger, A. Thayananthan, P. H. S. Torr, and R. Cipolla, "Model-based hand tracking using a hierarchical Bayesian filter", IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 9, pp. 1372-1384, Sep. 2006.
55. P. Brasnett, L. Mihaylova, D. Bull, and N. Canagarajah, "Sequential Monte Carlo tracking by fusing multiple cues in video sequences", Image Vis. Comput., vol. 25, no. 8, pp. 1217-1227, Aug. 2007.