Robust multi-camera tracking from schematic descriptions

Mohedano del Pozo, Raúl and García Santos, Narciso (2010). Robust multi-camera tracking from schematic descriptions. In: "IEEE 17th International Conference on Image Processing ICIP 2010", 26/09/2010 - 29/09/2010, Hong Kong, China. ISBN 978-1-4244-7992-4.

Description

Title: Robust multi-camera tracking from schematic descriptions
Author/s:
  • Mohedano del Pozo, Raúl
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE 17th International Conference on Image Processing ICIP 2010
Event Dates: 26/09/2010 - 29/09/2010
Event Location: Hong Kong, China
Title of Book: Proceedings of the IEEE 17th International Conference on Image Processing ICIP 2010
Date: December 2010
ISBN: 978-1-4244-7992-4
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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Abstract

Although monocular 2D tracking has been largely studied in the literature, it suffers from some inherent problems, mainly when handling persistent occlusions, that limit its performance in practical situations. Tracking methods combining observations from multiple cameras seem to solve these problems. However, most multi-camera systems require detailed information from each view, making it impossible their use in real networks with low transmission rate. In this paper, we present a robust multi-camera 3D tracking method which works on schematic descriptions of the observations performed by each camera of the system, allowing thus its performance in real surveillance networks. It is based on unspecific 2D detection systems working independently in each camera, whose results are smartly combined by means of a Bayesian association method based on geometry and color, allowing the 3D tracking of the objects of the scene with a Particle Filter. The tests performed show the excellent performance of the system, even correcting possible failures of the 2D processing modules.

More information

Item ID: 9232
DC Identifier: http://oa.upm.es/9232/
OAI Identifier: oai:oa.upm.es:9232
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5649425
Deposited by: Memoria Investigacion
Deposited on: 17 Oct 2011 09:34
Last Modified: 20 Apr 2016 17:44
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