Video object segmentation using multiple features

 

Autor(es):
Pardo, Alvaro
Tipo:
Preprint
Versión:
Enviado
Resumen:

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

Año:
2004
Idioma:
Inglés
Temas:
Gaussian mixture model
Motion estimation
Multiple feature
Object shape
Video object
Institución:
Universidad de la República
Repositorio:
COLIBRI
Enlace(s):
https://hdl.handle.net/20.500.12008/21297
Nivel de acceso:
Acceso abierto