Robust object tracking with online multiple instance learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 33, Issue 8, 2011, Pages 1619-1632

  Babenko, Boris ^a   Yang, Ming Hsuan ^b   Belongie, Serge ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of California   (United States)

Author keywords

multiple instance learning; online boosting; Visual Tracking

Indexed keywords

CURRENT FRAME; DISCRIMINATIVE CLASSIFIERS; MULTIPLE INSTANCE LEARNING; NEGATIVE EXAMPLES; OBJECT TRACKING; ON-LINE BOOSTING; REAL TIME PERFORMANCE; TRACKING TECHNIQUES; TRAINING EXAMPLE; VIDEO CLIPS; VISUAL TRACKING;

E-LEARNING;

TRACKING (POSITION);

EID: 79959527478     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2010.226     Document Type: Article

References (47)

1. S. Birchfield, "Elliptical Head Tracking Using Intensity Gradients and Color Histograms," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 232-237, 1998.
2. M. Isard and J. Maccormick, "Bramble: A Bayesian Multiple-Blob Tracker," Proc. IEEE Int'l Conf. Computer Vision, vol. 2, pp. 34-41, 2001. (Pubitemid 32795038)
3. K. Branson and S. Belongie, "Tracking Multiple Mouse Contours (without Too Many Samples)," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, 2005.
4. V. Lepetit and P. Fua, "Keypoint Recognition Using Randomized Trees," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1465-1479, Sept. 2006. (Pubitemid 44132652)
5. A. Yilmaz, O. Javed, and M. Shah, "Object Tracking: A Survey," ACM Computing Surveys, vol. 38, no. 4, 2006.
6. G. Hager and P. Belhumeur, "Efficient Region Tracking with Parametric Models of Geometry and Illumination," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 10, pp. 1025-1039, Oct. 1998. (Pubitemid 128741363)
7. M. Black and A. Jepson, "Eigentracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation," Int'l J. Computer Vision, vol. 26, no. 1, pp. 63-84, 1998. (Pubitemid 128513060)
8. D. Comaniciu, V. Ramesh, and P. Meer, "Real-Time Tracking of Non-Rigid Objects Using Mean Shift," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 142-149, 2000.
9. A. Adam, E. Rivlin, and I. Shimshoni, "Robust Fragments-Based Tracking Using the Integral Histogram," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 798-805, 2006. (Pubitemid 44931406)
10. A.D. Jepson, D.J. Fleet, and T.F. El-Maraghi, "Robust Online Appearance Models for Visual Tracking," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 10, pp. 1296-1311, Oct. 2003.
11. I. Matthews, T. Ishikawa, and S. Baker, "The Template Update Problem," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 810-815, June 2004.
12. D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang, "Incremental Learning for Robust Visual Tracking," Int'l J. Computer Vision, vol. 77, no. 1, pp. 125-141, 2008. (Pubitemid 351294740)
13. T.G. Dietterich, R.H. Lathrop, and L.T. Perez, "Solving the Multiple-Instance Problem with Axis Parallel Rectangles," Artificial Intelligence, vol. 89, pp. 31-71, 1997. (Pubitemid 127412230)
14. P. Viola, J.C. Platt, and C. Zhang, "Multiple Instance Boosting for Object Detection," Proc. Neural Information Processing Systems, pp. 1417-1426, 2005.
15. P. Dollár, B. Babenko, S. Belongie, P. Perona, and Z. Tu, "Multiple Component Learning for Object Detection," Proc. European Conf. Computer Vision, 2008.
16. S. Andrews, I. Tsochantaridis, and T. Hofmann, "Support Vector Machines for Multiple-Instance Learning," Proc. Neural Information Processing Systems, pp. 577-584, 2003.
17. C. Galleguillos, B. Babenko, A. Rabinovich, and S. Belongie, "Weakly Supervised Object Recognition and Localization with Stable Segmentations," Proc. European Conf. Computer Vision, 2008.
18. S. Vijayanarasimhan and K. Grauman, "Keywords to Visual Categories: Multiple-Instance Learning for Weakly Supervised Object Categorization," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008.
19. K. Okuma, A. Taleghani, N. De Freitas, J. Little, and D. Lowe, "A Boosted Particle Filter: Multitarget Detection and Tracking," Proc. European Conf. Computer Vision, pp. 28-39, 2004.
20. M. Isard and A. Blake, "Contour Tracking by Stochastic Propagation of Conditional Density," Proc. European Conf. Computer Vision, vol. 1064, pp. 343-356, 1996. (Pubitemid 126064335)
21. L. Vese and T. Chan, "A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model," Int'l J. Computer Vision, vol. 50, no. 3, pp. 271-293, 2002. (Pubitemid 35377416)
22. M. Salzmann, V. Lepetit, and P. Fua, "Deformable Surface Tracking Ambiguities," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2007.
23. A.O. Balan and M.J. Black, "An Adaptive Appearance Model Approach for Model-Based Articulated Object Tracking," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 758-765, 2006. (Pubitemid 44931401)
24. R. Lin, D. Ross, J. Lim, and M.-H. Yang, "Adaptive Discriminative Generative Model and Its Applications," Proc. Neural Information Processing Systems, pp. 801-808, 2004.
25. H. Grabner, M. Grabner, and H. Bischof, "Real-Time Tracking via Online Boosting," Proc. Conf. British Machine Vision, pp. 47-56, 2006.
26. X. Liu and T. Yu, "Gradient Feature Selection for Online Boosting," Proc. IEEE Int'l J. Computer Vision, pp. 1-8, 2007.
27. S. Avidan, "Ensemble Tracking," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 494-501, 2005.
28. S. Avidan, "Support Vector Tracking," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 8, pp. 1064-1072, Aug. 2004.
29. J. Wang, X. Chen, and W. Gao, "Online Selecting Discriminative Tracking Features Using Particle Filter," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 1037-1042, 2005.
30. R.T. Collins, Y. Liu, and M. Leordeanu, "Online Selection of Discriminative Tracking Features," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 10, pp. 1631-1643, Oct. 2005. (Pubitemid 41555407)
31. G. Mori and J. Malik, "Recovering 3D Human Body Configurations Using Shape Contexts," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 7, pp. 1052-1062, July 2006.
32. P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 511-518, 2001.
33. H. Grabner, C. Leistner, and H. Bischof, "Semi-Supervised Online Boosting for Robust Tracking," Proc. European Conf. Computer Vision, 2008.
34. N.C. Oza, "Online Ensemble Learning," PhD Thesis, Univ. of California, 2001.
35. P. Dollár, Z. Tu, H. Tao, and S. Belongie, "Feature Mining for Image Classification," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2007.
36. Z. Khan, T. Balch, and F. Dellaert, "A Rao-Blackwellized Particle Filter for Eigentracking," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, 2004.
37. J.H. Friedman, "Greedy Function Approximation: A Gradient Boosting Machine," The Annals of Statistics, vol. 29, no. 5, pp. 1189-1232, 2001. (Pubitemid 33405972)
38. B. Babenko, P. Dollár, Z. Tu, and S. Belongie, "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning," Proc. Faces in Real-Life Images, 2008.
39. Y. Freund and R.E. Schapire, "A Decision-Theoretic Generalization of Online Learning and an Application to Boosting," J. Computer and System Sciences, vol. 55, pp. 119-139, 1997. (Pubitemid 127433398)
40. J. Friedman, T. Hastie, and R. Tibshirani, "Additive Logistic Regression: A Statistical View of Boosting," The Annals of Statistics, vol. 28, no. 2, pp. 337-407, 2000. (Pubitemid 33227445)
41. C. Leistner, A. Saffari, P. Roth, and H. Bischof, "On Robustness of Online Boosting - A Competitive Study," Proc. Third IEEE Workshop Online Computer Vision, 2009.
42. H. Grabner and H. Bischof, "Online Boosting and Vision," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 260-267, 2006.
43. A. Chan and N. Vasconcelos, "Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 5, pp. 909-926, May 2008. (Pubitemid 351486757)
44. M. Everingham, L. Van Gool, C.K.I. Williams, J. Winn, and A. Zisserman, "The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results," http://www.pascal-network.org/challenges/VOC/voc2010/workshop/index.html, 2011.
45. S. Stalder, H. Grabner, and L. van Gool, "Beyond Semi-Supervised Tracking: Tracking Should Be as Simple as Detection, But Not Simpler than Recognition," Proc. Workshop Online Learning in Computer Vision, 2009.
46. P. Felzenszwalb, D. McAllester, and D. Ramanan, "A Discriminatively Trained, Multiscale, Deformable Part Model," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008.
47. L. Mu, J. Kwok, and L. Bao-liang, "Online Multiple Instance Learning with No Regret," Proc. IEEE Conf. Computer Vision and Pattern Recognitio, 2010.