Online multiple classifier boosting for object tracking

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 1-6

  Kim, Tae Kyun ^a   Woodley, Thomas ^a   Stenger, Björn ^b   Cipolla, Roberto ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b TOSHIBA CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE MODELS; BOOSTING ALGORITHM; INPUT SPACE; LEARNING OBJECTS; MULTI-CLASSIFIER; MULTI-MODAL; MULTIPLE CLASSIFIERS; OBJECT TRACKING; POSE ESTIMATION; TRAINING PHASE;

ALGORITHMS; COMPUTER VISION; GESTURE RECOGNITION; TECHNICAL PRESENTATIONS;

CLASSIFIERS;

EID: 77956505946     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543889     Document Type: Conference Paper

References (17)

1. S. Avidan. Ensemble tracking. IEEE Trans. Pattern Analysis and Machine Intell., 29(2):261-271, 2007.
2. B. Babenko, P. Dollár, Z. Tu, and S. Belongie. Simultaneous learning and alignment: Multi-instance and multi-pose learning. In Workshop on Faces in Real-Life Images, October 2008.
3. B. Babenko, M.-H. Yang, and S. Belongie. Visual tracking with online multiple instance learning. In CVPR, Miami, FL, June 2009.
4. M. J. Black and A. Jepson. Eigentracking: Robust matching and tracking of articulated objects using a view-based representation. In Proc. ECCV, pages 329-342, Cambridge, UK, 1996.
5. R. Collins, Y. Liu, and M. Leordeanu. Online selection of discriminative tracking features. PAMI, 27(10):1631-1643, 2005.
6. Y. Freund and R. Schapire. A decision theoretic generalization of on-line learning and an application to boosting. J. of Computer and System Sciences, 55(1):119-139, 1997.
7. H. Grabner and H. Bischof. On-line boosting and vision. In Proc. CVPR, volume 1, pages 260-267, 2006.
8. H. Grabner, C. Leistner, and H. Bischof. Semi-supervised on-line boosting for robust tracking. In Proc. ECCV, Marseille, France, October 2008.
9. P. Hall, D. Marshall, and R. Martin. Merging and splitting eigenspace models. Trans. PAMI, 22(9):1042-1049, 2000.
10. T. Jebara and A. Pentland. Parameterized structure from motion for 3d adaptive feedback tracking of faces. In CVPR, pages 144-150, June 1997.
11. M. Jones and P. Viola. Fast multi-view face detection. Technical Report 96, MERL, 2003.
12. M. I. Jordan and R. A. Jacobs. Hierarchical mixture of experts and the EM algorithm. Neural Computation, 6(2):181-214, 1994.
13. T.-K. Kim and R. Cipolla. MCBoost: Multiple classifier boosting for perceptual co-clustering of images and visual features. In NIPS, Vancouver, Canada, December 2008.
14. K.-C. Lee, J. Ho, M.-H. Yang, and D. Kriegman. Visual tracking and recognition using probabilistic appearance manifolds. Computer Vision and Image Understanding, 99(3):303-331, 2005.
15. L. Mason, J. Baxter, P. Bartlett, and M. Frean. Boosting algorithms as gradient descent. In NIPS, pages 512-518, 2000.
16. A. Torralba, K. P. Murphy, and W. T. Freeman. Sharing features: efficient boosting procedures for multiclass object detection. In CVPR, pages 762-769, Washington, DC, July 2004.
17. P. Viola, J. C. Platt, and C. Zhang. Multiple instance boosting for object detection. In NIPS, pages 1417-1426, 2006.