Memorias de investigación
Communications at congresses:
Simultaneous 3D object tracking and camera parameter estimation by Bayesian methods and transdimensional MCMC sampling
Year:2011
Research Areas
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
IEEE International Conference on Image Processing
960
Place
Bruselas (Bélgica)
Reviewers
Si
ISBN/ISSN
978-1-4577-1303-3
Start Date
11/09/2011
End Date
14/09/2011
From page
11
To page
14
IEEE ICIP2011: 2011 18th IEEE International Conference on Image Processing
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones