Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12008/21297
How to cite
| Title: | Video object segmentation using multiple features |
| Authors: | Pardo, Alvaro |
| Type: | Preprint |
| Keywords: | Gaussian mixture model, Motion estimation, Multiple feature, Object shape, Video object |
| Issue Date: | 2004 |
| Abstract: | In this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing e ort to study video segmentation using multiple features, and the relative contribution of each one of them. For this reason, the algorithm here presented will be very simple and made up from of the shelf algorithms. We will show that even with a simple algorithm, with the right steps, we can successfully segment video objects in moderate complex sequences |
| Description: | Trabajo presentado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications |
| Citation: | Pardo, A. Video object segmentation using multiple features [Preprint] Publicado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications. Proceedings. https://doi.org/10.1007/978-3-540-30463-0_75 |
| License: | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
| vos_ciarp04.pdf | 1,13 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
