Title

Motion Estimation And Segmentation

Keywords

Line process; Markov random fields; Mean field techniques; Motion boundaries; Optical flow

Abstract

In the general structure-from-motion (SFM) problem involving several moving objects in a scene, the essential first step is to segment moving objects independently. We attempt to deal with the problem of optical flow estimation and motion segmentation over a pair of images. We apply a mean field technique to determine optical flow and motion boundaries and present a deterministic algorithm. Since motion discontinuities represented by line process are embedded in the estimation of the optical flow, our algorithm provides accurate estimates of optical flow especially along motion boundaries and handles occlusion and multiple motions. We show that the proposed algorithm outperforms other well-known algorithms in terms of estimation accuracy and timing.

Publication Date

1-1-1996

Publication Title

Machine Vision and Applications

Volume

9

Issue

1

Number of Pages

32-42

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/BF01246637

Socpus ID

0029696180 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029696180

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