Motion estimation and segmentation using a recurrent mixture of experts architecture

Yair Weiss*, Edward H. Adelson

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations

Abstract

Estimating motion in scenes containing multiple motions remains a difficult problem for computer vision. Here we describe a novel recurrent network architecture which solves this problem by simultaneously estimating motion and segmenting the scene. The network is comprised of locally connected units which carry out simple calculations in parallel. We present simulation results illustrating the successful motion estimation and rapid convergence of the network on real image sequences.

Original languageAmerican English
Pages293-302
Number of pages10
StatePublished - 1995
Externally publishedYes
EventProceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95) - Cambridge, MA, USA
Duration: 31 Aug 19952 Sep 1995

Conference

ConferenceProceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95)
CityCambridge, MA, USA
Period31/08/952/09/95

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