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 0963-3308Full text not available from this repository.
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.
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 18:22|
|Last Modified:||01 Mar 2017 01:00|