Enhanced measurement model for subspace-based tracking

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 3492-3495

  Yin, Shimin ^a   Yoo, Haan Joo ^a   Choi, Jin Young ^a  

^a Department of Aerospace Engineering   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND CLUTTER; DISCRIMINABILITY; MEASUREMENT MODEL; ROBUST MEASUREMENT; SUBSPACE REPRESENTATION; TRACKING ALGORITHM; TRACKING PERFORMANCE; VISUAL TRACKING;

PATTERN RECOGNITION;

TRACKING (POSITION);

EID: 78149474635     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.852     Document Type: Conference Paper

References (9)

1. M.A Turk, A.P. Pentland.: Face recognition using eigenfaces. In: CVPR. (1991) 586-591
2. T.F. Cootes, G.J. Edwards, C.J. Taylor.: Active appearance model In: ECCV. (1998) 484-498
3. M. J. Black, A. D. Jepson.: EigenTracking: Robust matching and tracking of articulated objects using a view-based representation. In: ECCV. (1996) 329-342
4. B. Moghaddam, A. Pentland.: Probabilistic Visual Learning for Object Representation. In: TPAMI. (1997) 696-710
5. J. Lim, D. Ross, R.-S. Lin, M.-H. Yan.: Incremental Learning for Visual Tracking In: Neural Information Processing Systems(NIPS). (2005) 793-800
6. M. Yang, Y. Wu.: Tracking non-stationary appearances and dynamic feature selection. In: CVPR. (2005) 1059-1066
7. K.C. Lee, D. Kriegman.: Online Learning of Probabilistic Appearance model Manifolds for Video-based Recognition and Tracking. In: CVPR. (2005) 852-859
8. B. Zhang, W. Tian, Z. Jin.: Efficient hybrid appearance model for object tracking with occlusion handling. In: Optical Engineering. (2007)
9. D. Ross, J. Lim, R.-S. Lin, M.-H. Yan.: Incremental Learning for Robust Visual Tracking. In: International Journal of Computer Vision. (2008) Vol. 77, No. 1-3