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

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

Descripción

Título: Robust 3D People Tracking and Positioning System in a Semi-Overlapped Multi-Camera Environment
Autor/es:
  • Mohedano del Pozo, Raúl
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • Salgado Álvarez de Sotomayor, Luis
  • García Santos, Narciso
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 15th International Conference on Image Processing, ICIP 2008
Fechas del Evento: 12/10/2008-15/10/2008
Lugar del Evento: San Diego, EEUU
Título del Libro: Proceedings of 15th International Conference on Image Processing, ICIP 2008
Fecha: Diciembre 2008
ISBN: 978-1-4244-1765-0
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 3713
Identificador DC: http://oa.upm.es/3713/
Identificador OAI: oai:oa.upm.es:3713
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4712340
Depositado por: Memoria Investigacion
Depositado el: 07 Abr 2011 10:06
Ultima Modificación: 20 Abr 2016 13:12
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