Better feature tracking through subspace constraints

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3454-3461

  Poling, Bryan ^a   Lerman, Gilad ^a   Szlam, Arthur ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b CITY COLLEGE OF NEW YORK   (United States)

Author keywords

Feature Tracking; Low Rank Regularization; nonconvex optimization; Optical Flow

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING; OPTICAL FLOWS; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

FEATURE-TRACKING; HIGH QUALITY VIDEO; LOW-RANK REGULARIZATION; NON-RIGID MOTION; NONCONVEX OPTIMIZATION; SHARING INFORMATION; SUBSPACE CONSTRAINT; TRACKING PROBLEM;

COMPUTER VISION;

EID: 84911387467     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.441     Document Type: Conference Paper

References (31)

1. S. Baker and I. Matthews. Lucas-kanade 20 years on: A unifying framework. IJCV, 56(3):221-255, 2004.
2. J. R. Bergen, P. Anandan, K. J. Hanna, and R. Hingorani. Hierarchical model-based motion estimation. In ECCV, volume 588, pages 237-252. 1992.
3. M. Brand. Morphable 3d models from video. In CVPR, volume 2, pages II-456-II-463, 2001.
4. M. Brand. Incremental singular value decomposition of uncertain data with missing values. In ECCV, volume 2350, pages 707-720. 2002.
5. M. Brand. Subspace mappings for image sequences. In Proc. Workshop Statistical Methods in Video Processing, 2002.
6. M. Brand and R. Bhotika. Flexible flow for 3d nonrigid tracking and shape recovery. In CVPR, 2001.
7. T. Brox and J. Malik. Large displacement optical flow: descriptor matching in variational motion estimation. IEEE TPAMI, 33(3):500-513, 2011.
8. A. Buchanan and A. W. Fitzgibbon. Combining local and global motion models for feature point tracking. In CVPR, 2007.
9. E. J. Candès, X. Li, Y. Ma, and J. Wright. Robust principal component analysis? J. ACM, 58(3):11, 2011.
10. E. J. Candès and B. Recht. Exact matrix completion via convex optimization. FoCM, 9:717-772, 2009.
11. G. Chen and G. Lerman. Spectral curvature clustering (SCC). IJCV, 81(3):317-330, 2009.
12. J. Costeira and T. Kanade. A multibody factorization method for independently moving objects. IJCV, 29(3):159-179, 1998.
13. Y. Dai, H. Li, and M. He. A simple prior-free method for non-rigid structure-from-motion factorization. In CVPR, pages 2018-2025, 2012.
14. E. Elhamifar and R. Vidal. Sparse subspace clustering: Algorithm, theory, and applications. IEEE Trans. PAMI, PP(99):1-1, 2013.
15. R. Garg, L. Pizarro, D. Rueckert, and L. de Agapito. Dense multi-frame optic flow for non-rigid objects using subspace constraints. In ACCV, pages 460-473. 2010.
16. R. Garg, A. Roussos, and L. Agapito. A variational approach to video registration with subspace constraints. IJCV, 104(3):286-314, 2013.
17. R. Hartley and R. Vidal. Perspective nonrigid shape and motion recovery. In ECCV (1), pages 276-289, 2008.
18. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
19. M. Irani. Multi-frame correspondence estimation using subspace constraints. IJCV, 48(3):173-194, 2002.
20. B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In IJCAI, pages 674-679, 1981.
21. S. Negahban, P. D. Ravikumar, M. J. Wainwright, and B. Yu. A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers. Stat. Science, 27(4):538-557, 2012.
22. B. Poling and G. Lerman. A new approach to two-view motion segmentation using global dimension minimization. arXiv:1304.2999, 2013.
23. S. Ricco and C. Tomasi. Dense lagrangian motion estimation with occlusions. CVPR 2012, 0:1800-1807, 2012.
24. J. Shi and C. Tomasi. Good features to track. In CVPR, pages 593-600. IEEE, 1994.
25. C. Tomasi and T. Kanade. Detection and tracking of point features. Technical Report CMU-CS-91-132, 1991.
26. L. Torresani and C. Bregler. Space-time tracking. In ECCV (1), pages 801-812, 2002.
27. L. Torresani, A. Hertzmann, and C. Bregler. Robust model-free tracking of non-rigid shape. Technical report, Technical Report TR2003-840, New York University, 2003.
28. L. Torresani, D. Yang, E. Alexander, and C. Bregler. Tracking and modeling non-rigid objects with rank constraints. In CVPR, volume 1, pages I-493-I-500 vol.1, 2001.
29. R. Vershynin. Introduction to the non-asymptotic analysis of random matrices. In Compressed sensing, pages 210-268. Cambridge Univ. Press, Cambridge, 2012.
30. J. Yan and M. Pollefeys. A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and nondegenerate. In ECCV, volume 4, pages 94-106, 2006.
31. T. Zhang, A. Szlam, Y. Wang, and G. Lerman. Hybrid linear modeling via local best-fit flats. IJCV, 100:217-240, 2012.