CUED Publications database

Image sequence segmentation using mixture-models with uniqueness and spatio-temporal consistency constraints

Elias, D and Kingsbury, N (1999) Image sequence segmentation using mixture-models with uniqueness and spatio-temporal consistency constraints. IEE Colloquium (Digest). pp. 39-44. ISSN 0963-3308

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Abstract

The use of mixture-model techniques for motion estimation and image sequence segmentation was discussed. The issues such as modeling of occlusion and uncovering, determining the relative depth of the objects in a scene, and estimating the number of objects in a scene were also investigated. The segmentation algorithm was found to be computationally demanding, but the computational requirements were reduced as the motion parameters and segmentation of the frame were initialized. The method provided a stable description, in whichthe addition and removal of objects from the description corresponded to the entry and exit of objects from the scene.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 12:34
Last Modified: 28 Nov 2014 19:05
DOI: