Tracking dynamic near-regular texture under occlusion and rapid movements

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3952 LNCS, Issue , 2006, Pages 44-55

  Lin, Wen Chieh ^a   Liu, Yanxi ^b  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; MARKOV PROCESSES; PATTERN RECOGNITION; TRACKING (POSITION);

GLOBAL LATTICE STRUCTURE; MARKOV RANDOM FIELD (MRF) MODEL; NEAR REGULAR TEXTURE (NRT); TRACKING ALGORITHMS;

IMAGE ANALYSIS;

EID: 33745859408     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744047_4     Document Type: Conference Paper

References (24)

1. Liu, Y., Lin, W.C., Hays, J.: Near-regular texture analysis and manipulation. In: ACM SIGGRAPH. (2004) 368-376
2. Liu, Y., Tsin, Y., Lin, W.C.: The promise and perils of near-regular texture. International Journal of Computer Vision 62(1-2) (2005) 145-159
3. House, D.H., Breen, D.E., eds.: Cloth Modeling and Animation. A.K. Peters, Ltd., Natick, Massachusetts (2000)
4. Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. In: ECCV. (1998) 484-498
5. Matthews, I., Baker, S.: Active appearance models revisited. International Journal of Computer Vision 60(2) (2004) 135 - 164
6. Sclaroff, S., Isidoro, J.: Active blobs. In: ICCV. (1998) 1146-1153
7. Guskov, I.: Multiscale inverse compositional alignment for subdivision surface maps. In: ECCV (1). (2004) 133-145
8. Pilet, J., Lepetit, V., Fua, P.: Real-time non-rigid surface detection. In: CVPR. (2005) 822-828
9. Scholz, V., Stich, T., Keckeisen, M., Wacker, M., Magnor, M.: Garment motion capture using color-coded patterns. In: Eurographics. (2005) 439-448
10. Guskov, I., Klibanov, S., Bryant, B.: Trackable surfaces. In: ACM Symposium on Computer Animation. (2003) 251-257
11. Pritchard, D., Heidrich, W.: Cloth motion capture. In: Eurographics. (2003)
12. Guskov, I.: Efficient tracking of regular patterns on non-rigid geometry. In: Proceedings of ICPR. (2002)
13. Khan, Z., Balch, T., Dellaert, F.: An mcmc-based particle filter for tracking multiple interacting targets. In: ECCV. (2004) 279-290
14. Yu, T., Wu, Y.: Decentralized multiple target tracking using netted collaborative autonomous trackers. In: CVPR. (2005) 939-946
15. Sudderth, E.B., Mandel, M.I., Freeman, W.T., Willsky, A.S.: Distributed occlusion reasoning for tracking with nonparametric belief propagation. In: Neural Information Processing Systems. (2004) 1369-1376
16. Yedidia, J., Freeman, W., Weiss, Y.: Understanding belief propagation and its generalizations. In: International Joint Conference on Artificial Intelligence. (2001)
17. Freeman, W.T., Pasztor, E.C., Cannichael, O.T.: Learning low-level vision. Int. J. Comput. Vision 40(1) (2000) 25-47
18. Lin, W.C.: A lattice-based mrf model for dynamic near-regular texture tracking and manipulation. Technical Report CMU-RI-TR-05-58, Ph.D. Thesis, Robotics Institute, Carnegie Mellon University (2005)
19. Sudderth, E., Ihler, A., Freeman, W., Willsky, A.: Nonparamotric belief propagation. In: CVPR. (2003) 605-612
20. Isard, M.: Pampas: real-valued graphical models for computer vision. In: CVPR. (2003) 613-620
21. Isard, M., Blake, A.: Condensation - conditional density propagation for visual tracking. Int. J. Comput. Vision 29(1) (1998) 5-28
22. Doucet, A., Freitas, N.D., Gordon, N.: Sequential Monte Carlo Methods in Practice. Springer-Verlag (2001)
23. Matthews, I., Ishikawa, T., Baker, S.: The template update problem. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(6) (2004) 810 - 815
24. Black, M.J., Anandan, P.: The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding 83(1) (1996) 75-104