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Mohedano del Pozo, Raúl and García Santos, Narciso (2011). Simultaneous 3D object tracking and camera parameter estimation by Bayesian methods and transdimensional MCMC sampling. In: "18th IEEE International Conference on Image Processing, ICIP 2011", 11/09/2011 - 14/09/2011, Bruselas, Belgica. ISBN 978-1-4577-1304-0.
Title: | Simultaneous 3D object tracking and camera parameter estimation by Bayesian methods and transdimensional MCMC sampling |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 18th IEEE International Conference on Image Processing, ICIP 2011 |
Event Dates: | 11/09/2011 - 14/09/2011 |
Event Location: | Bruselas, Belgica |
Title of Book: | Proceedings of 18th IEEE International Conference on Image Processing, ICIP 2011 |
Date: | 2011 |
ISBN: | 978-1-4577-1304-0 |
Subjects: | |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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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.
Item ID: | 12211 |
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DC Identifier: | https://oa.upm.es/12211/ |
OAI Identifier: | oai:oa.upm.es:12211 |
Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
Deposited by: | Memoria Investigacion |
Deposited on: | 29 Aug 2012 08:24 |
Last Modified: | 21 Apr 2016 11:25 |