Computer Vision: Motion and Tracking

Professor: Davi Geiger
New York University
Courant Institute for Mathematical Studies

Nível: Mestrado

Optical flow: application of wavelet decomposition for resolving the aperture problem.
Strucutre from motion: application of Singular Value Decomposition and Groebner basis.
Motion, Occlusions and the role of junctions: global X local computations.
Tracking optical flow: Kalman filtering.
Tracking snakes, contours, in the presence of occlusions: a Bayesian approach.
Tracking skeletons with articulations and occlusions: axis of symmetry.

M. Black and A. Jepson, EigenTracking: Robust matching and tracking of articulated objects using aveiw-based representation.

A. Blake, R. Curwen, and A. Zisserman, A framework for spatio-temporal control in the tracking of visual contours, IJCV, 11(2): 127-145, 1993.

Cipolla and A. Blake, The dynamic analysis of apparent contours, Proceedings 3rd ICCV, 616-625, 1990.

D.G. Lowe, Robust model-based motion tracking through the integration of search and estimation, IJCV 8 (2): 113--122, 1992.

M. Isard and A. Blake, Contour tracking by stochastic propagation of conditional density, ECCV, 1996. (1) 343--356.

D. Tersopoulos and D. Metaxas, Dynamic 3D models with local and global deformations: deformable superquadrics, IEEE PAMI 13 (7), 1991.

C. Tomasi and T. Kanade, Shape and motion from image streams under orthography: a factorization method, IJCV, 9(2):137-154, 1992.

O. Faugeras, What can be seen in three dimensions with an uncalibrated stereo ring ?, ECCV'92, pp-563-578, 1992.

M. Werman and A. Shashua, Elimination: an approach to the study of 3D-from-2D, Proc. ICCV, June 1995.

J. J. Koenderink and A. J. van Doorn, Affine structure from motion, J. of the Otpical Society of America A. vol. 8, pp. 377-385, 1991.

Last Updated: Sep 1 1997