Depth map calculation for a variable number of moving objects using markov sequential object processes.
IEEE Trans Pattern Anal Mach Intell
; 30(7): 1308-12, 2008 Jul.
Article
en En
| MEDLINE
| ID: mdl-18550912
ABSTRACT
We advocate the use of Markov sequential object processes for tracking a variable number of moving objects through video frames with a view towards depth calculation. A regression model based on a sequential object process quantifies goodness of fit; regularization terms are incorporated to control within and between frame object interactions. We construct a Markov chain Monte Carlo method for finding the optimal tracks and associated depths and illustrate the approach on a synthetic data set as well as a sport sequence.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Grabación en Video
/
Algoritmos
/
Reconocimiento de Normas Patrones Automatizadas
/
Interpretación de Imagen Asistida por Computador
/
Cadenas de Markov
/
Almacenamiento y Recuperación de la Información
/
Imagenología Tridimensional
Tipo de estudio:
Diagnostic_studies
/
Health_economic_evaluation
/
Prognostic_studies
Idioma:
En
Revista:
IEEE Trans Pattern Anal Mach Intell
Asunto de la revista:
INFORMATICA MEDICA
Año:
2008
Tipo del documento:
Article
País de afiliación:
Países Bajos