Segmenting, modeling, and matching video clips containing multiple moving objects

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

Volumn 2, Issue , 2004, Pages

  Rothganger, Fred ^a   Lazebnik, Svetlana ^a   Schmid, Cordelia ^b   Ponce, Jean ^a  

^a University of Illinois at Urbana Champaign   (United States)

^b INRIA RHÔNE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; CONSTRAINT THEORY; IMAGE RETRIEVAL; IMAGE SEGMENTATION; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; OBJECT RECOGNITION;

EUCLIDEAN MODELS; IMAGE PROJECTION; STEREO MATCHING; VIDEO CLIPS;

VIDEO SIGNAL PROCESSING;

EID: 5044220302     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (35)

1. A. Aner and J. R. Kender. Video summaries through mosaic-based shot and scene clustering. In Proc. ECCV, 2002.
2. M. Ardebilian, X. W. TU, L. Chen, and P. Faudemay. Video segmentation using 3D hints contained in 2D images. SPIE 2916, 1996.
3. A. Baumberg. Reliable feature matching across widely separated views. In Proc. CVPR, 2000.
4. S. Belongie, J. Malik, and J. Puzicha. Matching shapes. In Proc. ICCV, 2001.
5. S. Benayoun, H. Bernard, P. Bertolino, M. Gelgon, C. Schmid, and F. Spindler. Structuration de vidéos pour des interfaces de consultation avancées. In Proc. CORESA, 1998.
6. S. Birchfield. KLT: An implementation of the Kanade-Lucas-Tomasi feature tracker, 1998.
7. C. Bregler and J. Malik. Tracking people with twists and exponential maps. In Proc. CVPR, 1998.
8. J. B. Burns, R. S. Weiss, and E. M. Riseman. View variation of point-set and line-segment features. PAMI, 15(1), 1993.
9. D.E. DiFranco, T.-J. Cham, and J.M. Rehg. Recovery of 3D articulated motion from 2D correspondences. Tech. Rep. CRL 99/7, Compaq Cambridge Res. Lab., 1999.
10. O. Faugeras, Q.-T. Luong, and T. Papadopoulo. The Geometry of Multiple Images. MIT Press, 2001.
11. O.D. Faugeras and M. Hebert. The representation, recognition, and locating of 3-D objects. IJRR, 5(3), 1986.
12. M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. CACM, 24(6), 1981.
13. A. Fitzgibbon and A. Zisserman. Multibody Structure and Motion: 3-D Reconstruction of Independently Moving objects. In Proc. European Conf. Comp. Vision, pages 891-906, June 2000.
14. U. Gargi, R. Kasturi, and S.H. Strayer. Performance characterization of video-shot-change detection methods. IEEE Trans. Circuits and Systems for Video Technology, 10(1), 2000.
15. U.I. Gupta, D.T. Lee, and Y.Y.-T. Leung. Efficient algorithms for interval graphs and circular-arc graphs. Networks, 12, 1982.
16. C. Harris and M. Stephens. A combined edge and corner detector. In Alvey Vis. Conf., 1988.
17. R. Hartley and A. Zisserman. Multiple view geometry in computer vision. Cambridge Univ. Press, 2000.
18. A.E. Johnson and M. Hebert. Surface matching for object recognition in complex three-dimensional scenes. IVC, 16, 1998.
19. R. Lienhart. Reliable transition detection in videos: A survey and practitioner's guide. Tech. Rep., Intel MRL, 2002.
20. T. Lindeberg and J. Cårding. Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure. IVC, 15(6), 1997.
21. D. Lowe, Distinctive image features from scale-invariant keypoints. IJCV, 2003. In press.
22. S. Mahamud, M. Hebert, Y. Omori, and J. Ponce. Provably-Convergent Iterative Methods for Projective Structure from Motion. In Proc. CVPR, pages 1018-1025, 2001
23. K. Mikolajczyk and C. Schmid. An affine invariant interest point detector. In Proc. ECCV, 2002.
24. J.L. Mundy and A. Zisserman. Geometric Invariance in Computer Vision. MIT Press, 1992.
25. J.L. Mundy, A. Zisserman, and D. Forsyth. Applications of Invariance in Computer Vision, LNCS 825, Springer-Verlag, 1994.
26. C.J. Poelman and T. Kanade. A paraperspective factorization method for shape and motion recovery. PAMI, 19(3), 1997.
27. M. Pollefeys, R. Koch, and L. Van Gool. Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. In Proc. ICCV, 1998.
28. P. Pritchett and A. Zisserman. Wide baseline stereo matching. In Proc. ICCV, 1998.
29. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. 3D Object Modeling and Recognition Using Affine-Invaniant Patches and Multi-View Spatial Constraints. In Proc. CVPR, 2003.
30. F. Schaffalitzky and A. Zisserman. Automated scene matching in movies. In Challenges of Image and Video Retrieval, 2002.
31. J. Sivic and A. Zisserman. Video Google: a text retrieval approach to object matching in videos. In Proc. ICCV, 2003.
32. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: a factorization method. IJCV, 9(2), 1992.
33. T. Tuytelaars and L. Van Gool. Matching widely separated views based on affinely invariant neighborhoods. IJCV, 2003. In press.
34. M.M. Yeung and B. Liu. Efficient matching and clustering of video shots. In Pmc. ICIP, 1995.
35. Z. Zhang. Token tracking in a cluttered scene. IJCV, 12(2), 1994.