Title
Motion segmentation and estimation
Abstract
Applies mean field technique and presents a deterministic algorithm to determine the optical flow and motion boundaries. To deal with the problem of large motion, the authors present an adaptive multigrid approach, which also greatly reduces the computation time. This algorithm is fully parallelizable and iterative. The performance of the proposed method is compared against known algorithms using performance measures proposed by Barren et al. [1992]. Experimental results indicate that the present approach provides good estimates of optical flow and motion boundaries.
Publication Date
1-1-1994
Publication Title
Proceedings - International Conference on Image Processing, ICIP
Volume
2
Number of Pages
785-789
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICIP.1994.413678
Copyright Status
Unknown
Socpus ID
84997217119 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84997217119
STARS Citation
Tian, Tina Yu and Shah, M., "Motion segmentation and estimation" (1994). Scopus Export 1990s. 199.
https://stars.library.ucf.edu/scopus1990/199