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INTELLIGENT VISUAL SURVEILLANCE: ROBUST PERSON AND VEHICLE TRACKING FOR INTELLIGENT VISUAL SURVEILLANCE - Couverture souple

Kong, Suyu

 
9783639169355: INTELLIGENT VISUAL SURVEILLANCE: ROBUST PERSON AND VEHICLE TRACKING FOR INTELLIGENT VISUAL SURVEILLANCE
Couverture souple
ISBN 10 : 3639169352 ISBN 13 : 9783639169355
Editeur : VDM Verlag, 2009

Synopsis

In this book, we describe the proposed pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. We propose an approach that combines blob matching with particle filtering to track multiple people in the scene, i.e., the proposed method selects the successful features of blob matching and particle filtering for tracking. In addition, a novel appearance model derived from the colour information from both the moving regions and theoriginal input colour image is proposed to track people in the event of poor foreground extraction. Additionally, the proposed appearance model also includes spatial information of the human body in both vertical and horizontal directions, making location more accurate. Furthermore, a novel method to extract cars from moving regions including shadow area, based on shape and colour information, is proposed. Chamfer template matching score, and non-shadow region edge score, are applied as the shape information; while the shadow confidence score (SCS) is used as the colour information.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In this book, we describe the proposed pedestrian classification and tracking system that is able to track and label multiple people in an outdoor environment such as a railway station. We propose an approach that combines blob matching with particle filtering to track multiple people in the scene, i.e., the proposed method selects the successful features of blob matching and particle filtering for tracking. In addition, a novel appearance model derived from the colour information from both the moving regions and theoriginal input colour image is proposed to track people in the event of poor foreground extraction. Additionally, the proposed appearance model also includes spatial information of the human body in both vertical and horizontal directions, making location more accurate. Furthermore, a novel method to extract cars from moving regions including shadow area, based on shape and colour information, is proposed. Chamfer template matching score, and non-shadow region edge score, are applied as the shape information; while the shadow confidence score (SCS) is used as the colour information.

Biographie de l'auteur

Suyu Kong received his Master of Philosophy degree in compute science from the University of Queensland. During his postgraduate period, he received the scholarship from National ICT, Australia(NICTA) and also worked there as a reserch student. His papers about people tracking for visual surveillance have been accepted by AVSS and ICPR.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639169352
ISBN 13 
9783639169355
Reliure
Broché
Nombre de pages
112
Coordonnées du fabricant
non disponible
Personne responsable
non disponible