Robust 3D People Tracking and Positioning System in a Semi-Overlapped Multi-Camera Environment

Mohedano del Pozo, Raúl and Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and Salgado Álvarez de Sotomayor, Luis and García Santos, Narciso (2008). Robust 3D People Tracking and Positioning System in a Semi-Overlapped Multi-Camera Environment. In: "15th International Conference on Image Processing, ICIP 2008", 12/10/2008-15/10/2008, San Diego, EEUU. ISBN 978-1-4244-1765-0.

Description

Title: Robust 3D People Tracking and Positioning System in a Semi-Overlapped Multi-Camera Environment
Author/s:
  • Mohedano del Pozo, Raúl
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • Salgado Álvarez de Sotomayor, Luis
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: 15th International Conference on Image Processing, ICIP 2008
Event Dates: 12/10/2008-15/10/2008
Event Location: San Diego, EEUU
Title of Book: Proceedings of 15th International Conference on Image Processing, ICIP 2008
Date: December 2008
ISBN: 978-1-4244-1765-0
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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Abstract

People positioning and tracking in 3D indoor environments are challenging tasks due to background clutter and occlusions. Current works are focused on solving people occlusions in low-cluttered backgrounds, but fail in high-cluttered scenarios, specially when foreground objects occlude people. In this paper, a novel 3D people positioning and tracking system is presented, which shows itself robust to both possible occlusion sources: static scene objects and other people. The system holds on a set of multiple cameras with partially overlapped fields of view. Moving regions are segmented independently in each camera stream by means of a new background modeling strategy based on Gabor filters. People detection is carried out on these segmentations through a template-based correlation strategy. Detected people are tracked independently in each camera view by means of a graph-based matching strategy, which estimates the best correspondences between consecutive people segmentations. Finally, 3D tracking and positioning of people is achieved by geometrical consistency analysis over the tracked 2D candidates, using head position (instead of object centroids) to increase robustness to foreground occlusions.

More information

Item ID: 3713
DC Identifier: http://oa.upm.es/3713/
OAI Identifier: oai:oa.upm.es:3713
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4712340
Deposited by: Memoria Investigacion
Deposited on: 07 Apr 2011 10:06
Last Modified: 20 Apr 2016 13:12
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