Learning spatiotemporal T-junctions for occlusion detection

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn II, Issue , 2005, Pages 553-559

  Apostoloff, Nicholas ^a   Fitzgibbon, Andrew ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTER VISION; FEATURE EXTRACTION; MOTION PLANNING; NEUROLOGY; WAVEGUIDE JUNCTIONS;

LAYER EXTRACTION; MOTION SEGMENTATION; SPATIOTEMPORAL IMAGES; T-JUNCTION CLASSIFIERS;

LEARNING SYSTEMS;

EID: 24644506286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.206     Document Type: Conference Paper

References (35)

1. E. H. Adelson and J. R. Bergen. Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. A, 2(2), 1985.
2. P. Anandan. A computational framework and an algorithm for the measurement of visual motion. IJCV, 2:283-310, 1989.
3. H. H. Baker and R. C. Bolles. Generalizing epipolar-plane image analysis on the spatiotemporal surface. IJCV, 3(1):33-49, May 1989.
4. J. L. Bentley and J. H. Friedman. Data structures for range searching. Computing Surveys, 11(4):397-409, 1979.
5. D. Beymer. Finding junctions using the image gradient. In Proc. IEEE Computer Vision and Pattern Recognition, 1991.
6. M. J. Black and P. Anandan. Robust dynamic motion estimation over time. In Proc. CVPR, pages 296-302, 1991.
7. M. J. Black and D. J. Fleet. Probabilistic detection and tracking of motion discontinuities. In Proc. ICCV, pages 551-558, Corfu, Greece, September 1999.
8. R. C. Bolles, H. H. Baker, and D. H. Marimont. Epipolar-plane image analysis: An approach to determining structure from motion. IJCV, 1(1):7-56, 1987.
9. R. C. Bolles and R. Horaud. 3DPO: A three-dimensional part orientation system. In T. Kanade, editor, Three Dimensional Vision, pages 399-450. Kluwer Academic Publishers, 1987.
10. A. Broadhurst and R. Cipolla. The applications of uncalibrated occlusion junctions. In Proc. BMVC., volume I, pages 245-254, 1999.
11. G. J. Burton and I. R. Moorhead. Color and spatial structures in natural scenes. Applied Optics, 26(1):157-170, 1987.
12. A. Criminisi, S. B. Kang, R. Swaminathan, R. Szeliski, and R. Anandan. Extracting layers and analyzing their specular properties using epipolar-plane-image analysis. Technical Report 44, Microsoft Research, 2002.
13. P. Favaro, A. Duci, Y. Ma, and S. Soatto. On exploiting occlusions in multiple-view geometry. In Proc. ICCV, pages 479-486, 2003.
14. I. Feldmann, P. Eisert, and P. Kauff. Extension of epipolar image analysis to circular camera movement. In Proc. of Int. Conf. on Image Processing (ICIP 2003), Barcelona, Spain, September 2003.
15. D. J. Field. Relations between the statistics of natural images and the response properties of cortical cells. J. Opt. Soc. Amer. A, 4(12):2379-2394, 1987.
16. W. T. Freeman and E. H. Adelson. The design and use of steerable filters. IEEE PAMI, 13:891-906, 1991.
17. B. K. P. Horn and B. G. Schunck. Determining optical flow. Artificial Intelligence, 17:185-203, 1981.
18. M. Irani. Multi-frame optical flow estimation using subspace constraints. In Proc. ICCV, pages 626-633, 1999.
19. M. Irani, B. Rousso, and S. Peleg. Computing occluding and transparent motions. IJCV, 12(1):5-16, 1994.
20. I. T. Jolliffe. Principal Component Analysis. Springer, New York, 1986.
21. I. Laptev. Local spatio-temporal image features for motion interpretation. PhD thesis, Dept. of Numerical Analysis and Computing Science, KTH Stockholm, 2004.
22. D. Li, G. D. Sullivan, and K. D. Baker. Edge detection at junctions. In Proc. Alvey Vision Conference, pages 121-125, 1989.
23. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
24. H.-H. Nagel. Displacement vector derived from second order intensity variations in image sequences. Computer Vision, Graphics and Image Processing, 21:85-117, 1983.
25. S. Niyogi. Detecting kinetic occlusion. In Proc. ICCV, pages 1044-1049, 1995.
26. S. Niyogi. Spatiotemporal junction analysis for motion boundary detection, pages 468-471, 1995.
27. S. Niyogi and E. H. Adelson. Analyzing and recognizing walking figures in XYT. Technical Report 223, M.I.T. Media Lab, Vision and Modeling Group, 1993.
28. S. Niyogi and E. H. Adelson. Analyzing gait with spatiotemporal surfaces. In orkshop on Non-Rigid Motion and Articulated Objects, Austin, TX, November 1994.
29. L. Parida and D. Geiger. Junctions: detection, classification and reconstruction. IEEE Trans. Pattern Analysis and Machine Intelligence, 20(7):687-698, 1998.
30. P. Perona. Steerable-scalable kernels for edge detection and junction analysis. In European Conference on Computer Vision, pages 3-18, 1992.
31. D. L. Ruderman and W. Bialek. Statistics of natural images: Scaling in the woods. Phys. Rev. Lett, 73(6):814-817, 1994.
32. E. P. Simoncelli and H. Farid. Steerable wedge filters for local orientation analysis. In IEEE Transactions on Image Processing, 1996.
33. M. E. Tipping. The relevance vector machine. Advances in Neural Information Processing Systems, 2000.
34. J. Y. A. Wang and E. H. Adelson. Spatio-temporal segmentation of video data. In Proceedings of SPIE on Image and Video Processing II, pages 120-131, San Jose, 1994.
35. S.C. Zhu and D. Mumford. Prior learning and Gibbs reaction-diffusion. PAMI, 19(11):1236-1250, November 1997.