Memorias de investigación
Ponencias en congresos:
Simultaneous 3D object tracking and camera parameter estimation by Bayesian methods and transdimensional MCMC sampling
Año:2011
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
Multi-camera 3D tracking systems with overlapping cameras represent a powerful mean for scene analysis, as they potentially allow greater robustness than monocular systems and provide useful 3D information about object location and movement. However, their performance relies on accurately calibrated camera networks, which is not a realistic assumption in real surveillance environments. Here, we introduce a multi-camera system for tracking the 3D position of a varying number of objects and simultaneously refin-ing the calibration of the network of overlapping cameras. Therefore, we introduce a Bayesian framework that combines Particle Filtering for tracking with recursive Bayesian estimation methods by means of adapted transdimensional MCMC sampling. Addi-tionally, the system has been designed to work on simple motion detection masks, making it suitable for camera networks with low transmission capabilities. Tests show that our approach allows a successful performance even when starting from clearly inaccurate camera calibrations, which would ruin conventional approaches.
Internacional
Si
Nombre congreso
IEEE International Conference on Image Processing
Tipo de participación
960
Lugar del congreso
Bruselas (Bélgica)
Revisores
Si
ISBN o ISSN
978-1-4577-1303-3
DOI
Fecha inicio congreso
11/09/2011
Fecha fin congreso
14/09/2011
Desde la página
11
Hasta la página
14
Título de las actas
IEEE ICIP2011: 2011 18th IEEE International Conference on Image Processing
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones