Optical Flow
Project status: Active
Research Areas
| Computer Vision |
People
| Michael J. Black |
| Stefan Roth |
Publications
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 ]
Yalcin, H., Black, M., and Fablet, R. The dense estimation of motion and appearance in layers. In Proceedings of the IEEE Workshop on Image and Video Registration, Computer Vision and Pattern Recognition (CVPR'04) CDROM (June 2004). [ pdf ]
Sidenbladh, H., and Black, M. Learning the statistics of people in images and video. International Journal of Computer Vision 54 (Aug. 2003), 183-209. [ pdf ]
Roth, S., Domini, F., and Black, M. Specular flow and the perception of surface reflectance. Journal of Vision 3, 9 (2003), 413a. [ pdf ]
Fablet, R., and Black, M. Automatic detection and tracking of human motion with a view-based representation. In Proceedings of the European Conference on Computer Vision, ECCV 2002 (2002), pp. 476-491. [ pdf ]
Fleet, D., Jepson, A., and Black, M. A layered motion representation with occlusion and compact spatial support. In Proceedings of the European Conference on Computer Vision, ECCV 2002 (2002), pp. 692-706. [ pdf ]
Sidenbladh, H., and Black, M. Learning image statistics for Bayesian tracking. In Proceedings of the International Conference on Computer Vision, ICCV-2001 (2001), pp. 709-716. [ 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 ]
Sidenbladh, H., Black, M., and Fleet, D. Stochastic tracking of 3D human figures using 2D image motion. In Proceedings of the European Conference on Computer Vision (June 2000), pp. 702-718. [ pdf ]
Black, M., Fleet, D., and Yacoob, Y. Robustly estimating changes in image appearance. Computer Vision and Image Understanding 78, 1 (2000), 8-31. [ 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 ]
Black, M. Explaining optical flow events with parameterized spatio-temporal models. In Proceedings of the IEEE Computer Vision and Pattern Recognition, CVPR '99 (Fort Collins, CO, 1999), pp. 326-332. [ pdf ]
Black, M., Fleet, D., and Yacoob, Y. A framework for modeling appearance change in image sequences. In Proceedings of the 6th International Conference on Computer Vision, ICCV'98 (Mumbai, India, Jan. 1998), pp. 660-667. [ 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., Yacoob, Y., and Fleet, D. Modeling appearance change in image sequences. In Advances in Visual Form Analysis, Proceedings of the 3rd International Workshop on Visual Form (Capri, Italy, May 1997), pp. 11-20.
Black, M., Yacoob, Y., and Ju, X. Recognizing human motion using parameterized models of optical flow. In Motion-Based Recognition, M. Shah and R. Jain, Eds. Kluwer Academic Publishers, 1997, pp. 245-269. [ pdf ]
Black, M., and Jepson, A. Estimating optical flow in segmented images using variable-order parametric models with local deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 18, 10 (Oct. 1996), 972-986. [ pdf ]
Ju, S., Black, M., and Yacoob, Y. Cardboard people: A parameterized model of articulated motion. In Proceedings of the 2nd International Conference on Automatic Face- and Gesture-Recognition (Killington, VT, Oct. 1996), pp. 38-44. [ pdf ]
Ju, S., Black, M., and Jepson, A. Skin and Bones: Multi-layer, locally affine, optical flow and regularization with transparency. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR'96 (San Francisco, CA, June 1996), pp. 307-314. [ pdf ]
Jepson, A., and Black, M. Mixture models for image representation. Tech. rep., University of Toronto, Mar. 1996.
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 ]
Black, M., and Yacoob, Y. Recognizing facial expressions under rigid and non-rigid facial motions using local parametric models of image motion. In Proceedings of the International Workshop on Automatic Face- and Gesture-Recognition (Zurich, July 1995). [ pdf ]
Black, M., and Yacoob, Y. Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion. In Proceedings of the Fifth International Conference on Computer Vision, ICCV'95 (Boston, MA, June 1995), pp. 374-381. [ pdf ]
Black, M., and Jepson, A. Estimating multiple independent motions in segmented images using parametric models with local deformations. In Proceedings of the Workshop on Non-rigid and Articulate Motion (Austin, TX, Nov. 1994), pp. 220-227. [ 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. A model for the detection of motion over time. In Proceedings of the International Conference on Computer Vision, ICCV-90 (Osaka, Japan, Dec. 1990), pp. 33-37. [ pdf ]
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