Motion boundary detection in image sequences by local stochastic tests

13Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

While estimating both components of optical flow based on the postulated validity of the Optical Flow Constraint Equation (OFCE), it has been tacitly assumed so far that the partial derivatives of the gray value distribution — which are required for this approach at the pixel positions involved — are independent from each other. [Nagel 94] has shown in a theoretical investigation how dropping this assumption affects the estimation procedure. The advantage of such a more rigorous approach consists in the possibility to replace heuristic tests for the local detection of discontinuities in optical flow fields by well known stochastic tests. First results from various experiments with this new approach are presented and discussed.

Cite

CITATION STYLE

APA

Nagel, H. H., Socher, G., Kollnig, H., & Otte, M. (1994). Motion boundary detection in image sequences by local stochastic tests. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 801 LNCS, pp. 305–315). Springer Verlag. https://doi.org/10.1007/bfb0028363

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free