Robust superpixel tracking

IEEE Transactions on Image Processing

Volumn 23, Issue 4, 2014, Pages 1639-1651

  Yang, Fan ^a   Lu, Huchuan ^a   Yang, Ming Hsuan ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b Merced   (United States)

Author keywords

appearance model; midlevel visual cues; superpixel; Visual tracking

Indexed keywords

ALGORITHMS; IMAGE MATCHING;

APPEARANCE MODELING; BACKGROUND SEGMENTATION; IMAGE REPRESENTATIONS; MAXIMUM A POSTERIOR ESTIMATE; STRUCTURAL INFORMATION; SUPER PIXELS; VISUAL CUES; VISUAL TRACKING;

TARGET TRACKING;

ALGORITHM; CAR; HUMAN; IMAGE PROCESSING; PROCEDURES; SPORT;

ALGORITHMS; AUTOMOBILES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; SPORTS;

EID: 84896128090     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2300823     Document Type: Article

References (36)

1. A. D. Jepson, D. J. Fleet, and T. F. El-Maraghi, "Robust online appearance models for visual tracking," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Dec. 2001, pp. 415-422.
2. R. Collins and Y. Liu, "On-line selection of discriminative tracking features," in Proc. IEEE Int. Conf. Comput. Vis., Oct. 2003, pp. 346-352.
3. J. Lim, D. Ross, R.-S. Lin, and M.-H. Yang, "Incremental learning for visual tracking," in Advances in Neural Information Processing Systems. Cambridge, MA, USA: MIT Press, 2005, pp. 793-800.
4. H. Grabner and H. Bischof, "On-line boosting and vision," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2006, pp. 260-267. (Pubitemid 44931339)
5. A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2006, pp. 798-805. (Pubitemid 44931406)
6. H. Grabner, C. Leistner, and H. Bischof, "Semi-supervised on-line boosting for robust tracking," in Proc. 10th Eur. Conf. Comput. Vis., Oct. 2008, pp. 234-247.
7. B. Babenko, M.-H. Yang, and S. Belongie, "Visual tracking with online multiple instance learning," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 983-990.
8. J. Kwon and K. M. Lee, "Tracking of a non-rigid object via patchbased dynamic appearance modeling and adaptive basin hopping Monte Carlo sampling," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 1208-1215.
9. B. Han, Y. Zhu, D. Comaniciu, and L. S. Davis, "Visual tracking by continuous density propagation in sequential Bayesian filtering framework," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 5, pp. 919-930, May 2009.
10. D.-N. Ta, W.-C. Chen, N. Gelfand, and K. Pulli, "SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 2937-2944.
11. X. Mei and H. Ling, "Robust visual tracking using l1 minimization," in Proc. IEEE 12th Int. Conf. Comput. Vis., Sep./Oct. 2009, pp. 1436-1443.
12. J. Kwon and K. M. Lee, "Visual tracking decomposition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2010, pp. 1269-1276.
13. Z. Kalal, J. Matas, and K. Mikolajczyk, "P-N learning: Bootstrapping binary classifiers by structural constraints," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2010, pp. 49-56.
14. S. Hare, A. Saffari, and P. H. S. Torr, "Struck: Structured output tracking with kernels," in Proc. IEEE ICCV, Nov. 2011, pp. 263-270.
15. A. Yilmaz, O. Javed, and M. Shah, "Object tracking: A survey," ACM Comput. Surv., vol. 38, no. 4, pp. 1-45, 2006.
16. K. Cannons, "A review of visual tracking," Dept. Comput. Sci., York Univ., Toronto, ON, Canada, Tech. Rep. CSE-2008-7, 2008.
17. M.-H. Yang and J. Ho, "Toward robust online visual tracking," in Distributed Video Sensor Networks, B. Bhanu, C. V. Ravishankar, A. K. Roy-Chowdhury, H. Aghajan, and D. Terzopoulos, Eds. New York, NY, USA: Springer-Verlag, 2011, pp. 119-136.
18. J. Santner, C. Leistner, A. Saffari, T. Pock, and H. Bischof, "PROST: Parallel robust online simple tracking," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 723-730.
19. D. Wang, H. Lu, and M.-H. Yang, "Online object tracking with sparse prototypes," IEEE Trans. Image Process., vol. 22, no. 1, pp. 314-325, Jan. 2013.
20. X. Ren and J. Malik, "Learning a classification model for segmentation," in Proc. 9th IEEE Int. Conf. Comput. Vis., Oct. 2003, pp. 10-17.
21. L. Lu and G. D. Hager, "A nonparametric treatment for location/segmentation based visual tracking," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2007, pp. 1-8.
22. X. Ren and J. Malik, "Tracking as repeated figure/ground segmentation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2007, pp. 1-8.
23. A. Vedaldi and S. Soatto, "Quick shift and kernel methods for mode seeking," in Proc. Eur. Conf. Comput. Vis., Oct. 2008, pp. 705-718.
24. G. Mori, X. Ren, A. A. Efros, and J. Malik, "Recovering human body configurations: Combining segmentation and recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun./Jul. 2004, pp. 326-333.
25. S. Wang, H. Lu, F. Yang, and M.-H. Yang, "Superpixel tracking," in Proc. IEEE ICCV, Nov. 2011, pp. 1323-1330.
26. S. Avidan, "Ensemble tracking," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2005, pp. 494-501.
27. A. Levinshtein, A. Stere, K. N. Kutulakos, D. J. Fleet, S. Dickinson, and K. Siddiqi, "Turbopixels: Fast superpixels using geometric flows," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 12, pp. 2290-2297, Dec. 2009.
28. A. Radhakrishna, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk, "Slic superpixels," Dept. School Comput. Commun. Sci., EPFL, Lausanne, Switzerland, Tech. Rep. 149300, 2010.
29. C. Bibby and I. D. Reid, "Robust real-time visual tracking using pixel-wise posteriors," in Proc. Eur. Conf. Comput. Vis., Oct. 2008, pp. 831-844.
30. P. Chockalingam, S. N. Pradeep, and S. Birchfield, "Adaptive fragmentsbased tracking of non-rigid objects using level sets," in Proc. IEEE 12th Int. Conf. Comput. Vis., Sep./Oct. 2009, pp. 1530-1537.
31. D. Tsai, M. Flagg, and J. M. Rehg, "Motion coherent tracking with multi-label MRF optimization." in Proc. Brit. Mach. Vis. Conf., Sep. 2010, pp. 1-11.
32. M. Godec, P. M. Roth, and H. Bischof, "Hough-based tracking of non-rigid objects," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 81-88.
33. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 5, pp. 603-619, May 2002. (Pubitemid 34550429)
34. R. T. Collins, "Mean-shift blob tracking through scale space," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2003, pp. 234-240.
35. K. Nummiaro, E. Koller-Meier, and L. V. Gool, "An adaptive colorbased particle filter," Image Vis. Comput., vol. 21, no. 1, pp. 99-110, 2003.
36. M. Everingham, L. J. V. Gool, C. K. I. Williams, J. M. Winn, and A. Zisserman, "The PASCAL visual object classes (VOC) challenge," Int. J. Comput. Vis., vol. 88, no. 2, pp. 303-338, 2010.