Motion Discontinuities
Project status: Active
Research Areas
| Computer Vision |
People
| Michael J. Black |
Publications
Roth, S., and Black, M. Fields of Experts: A framework for learning image priors. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (June 2005), pp. 860-867. [ pdf ]
Roth, S., and Black, M. On the spatial statistics of optical flow. In Proceedings of the International Conference on Computer Vision (ICCV) (2005), pp. 42-49. [ pdf ]
Fleet, D., Black, M., and Nestares, O. Bayesian inference of visual motion boundaries. In Exploring Artificial Intelligence in the New Millennium, G. Lakemeyer and B. Nebel, Eds. Morgan Kaufmann, July 2002. [ pdf ]
Black, M., and Fleet, D. Probabilistic detection and tracking of motion boundaries. International Journal of Computer Vision 38, 3 (July 2000), 231-245. [ pdf ]
Fleet, D., Black, M., Yacoob, Y., and Jepson, A. Design and use of linear models for image motion analysis. International Journal of Computer Vision 36, 3 (2000), 171-193. [ pdf ]
Black, M., and Fleet, D. Probabilistic detection and tracking of motion discontinuities. In Proceedings of the International Conference on Computer Vision, ICCV-99 (Corfu, Greece, Sept. 1999), pp. 551-558. [ pdf ]
Fleet, D., Black, M., and Jepson, A. Motion feature detection using steerable flow fields. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR-98 (Santa Barbara, CA, 1998), pp. 274-281. [ pdf ]
Black, M., Yacoob, Y., Jepson, A., and Fleet, D. Learning parameterized models of image motion. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR-97 (Puerto Rico, June 1997), pp. 561-567. [ pdf ]
Black, M., and Anandn, P. The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields. Computer Vision and Image Understanding, CVIU 63, 1 (Jan. 1996), 75-104. [ pdf ]
Ju, X., and Black, M. Time to contact from active tracking of motion boundaries. In Proceedings of the Conference on Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision (Boston, MA, Nov. 1994), pp. 26-37.
Black, M. Recursive non-linear estimation of discontinuous flow fields. In Proc. Third European Conf. on Computer Vision, ECCV'94 (Stockholm, Sweden, May 1994), pp. 138-145. [ pdf ]
Jepson, A., and Black, M. Mixture models for optical flow computation. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR-93 (New York, NY, June 1993), pp. 760-761. [ pdf ]
Black, M., and Anandan, P. A framework for the robust estimation of optical flow. In Proceedings of the Fourth International Conference on Computer Vision, ICCV-93 (Berlin, Germany, May 1993), pp. 231-236. [ pdf ]
Black, M. Combining intensity and motion for incremental segmentation and tracking over long image sequences. In Proceedings of the Second European Conference on Computer Vision, ECCV-92 (May 1992), pp. 485-493. [ pdf ]
Black, M. Robust Incremental Optical Flow. PhD thesis, Yale University, 1992. [ pdf ]
Black, M., and Anandan, P. Dynamic motion estimation and feature extraction over long image sequences. In Proceedings of the International Joint Committee on Artificial Intelligence (IJCAI) Workshop on Dynamic Scene Understanding (Sydney, Australia, Aug. 1991).
Black, M., and Anandan, P. Robust dynamic motion estimation over time. In Proceedings of the Conference on Computer Vision and Pattern Recognition, CVPR-91 (Maui, Hawaii, June 1991), pp. 296-302. [ pdf ]
Black, M., and Anandan, P. Constraints for the early detection of discontinuity from motion. In Proceedings of the National Conference on Artificial Intelligence, AAAI-90 (Boston, MA, 1990), pp. 1060-1066. [ pdf ]
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