Robust Real-Time Tracking for Visual Surveillance

Robust Real-Time Tracking for Visual Surveillance

<p/> <p>This paper describes a real-time multi-camera surveillance system that can be applied to a range of application domains. This integrated system is designed to observe crowded scenes and has mechanisms to improve tracking of objects that are in close proximity. The four component...

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Main Authors: Aguilera Josep, Wildenauer Horst, Kampel Martin, Thirde David, Borg Mark, Ferryman James
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2007/096568
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spelling doaj-50e980328cca4194935bf6ce1f74929e2020-11-25T00:19:07ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071096568Robust Real-Time Tracking for Visual SurveillanceAguilera JosepWildenauer HorstKampel MartinThirde DavidBorg MarkFerryman James<p/> <p>This paper describes a real-time multi-camera surveillance system that can be applied to a range of application domains. This integrated system is designed to observe crowded scenes and has mechanisms to improve tracking of objects that are in close proximity. The four component modules described in this paper are (i) motion detection using a layered background model, (ii) object tracking based on local appearance, (iii) hierarchical object recognition, and (iv) fused multisensor object tracking using multiple features and geometric constraints. This integrated approach to complex scene tracking is validated against a number of representative real-world scenarios to show that robust, real-time analysis can be performed.</p> http://asp.eurasipjournals.com/content/2007/096568
collection DOAJ
language English
format Article
sources DOAJ
author Aguilera Josep
Wildenauer Horst
Kampel Martin
Thirde David
Borg Mark
Ferryman James
spellingShingle Aguilera Josep
Wildenauer Horst
Kampel Martin
Thirde David
Borg Mark
Ferryman James
Robust Real-Time Tracking for Visual Surveillance
EURASIP Journal on Advances in Signal Processing
author_facet Aguilera Josep
Wildenauer Horst
Kampel Martin
Thirde David
Borg Mark
Ferryman James
author_sort Aguilera Josep
title Robust Real-Time Tracking for Visual Surveillance
title_short Robust Real-Time Tracking for Visual Surveillance
title_full Robust Real-Time Tracking for Visual Surveillance
title_fullStr Robust Real-Time Tracking for Visual Surveillance
title_full_unstemmed Robust Real-Time Tracking for Visual Surveillance
title_sort robust real-time tracking for visual surveillance
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2007-01-01
description <p/> <p>This paper describes a real-time multi-camera surveillance system that can be applied to a range of application domains. This integrated system is designed to observe crowded scenes and has mechanisms to improve tracking of objects that are in close proximity. The four component modules described in this paper are (i) motion detection using a layered background model, (ii) object tracking based on local appearance, (iii) hierarchical object recognition, and (iv) fused multisensor object tracking using multiple features and geometric constraints. This integrated approach to complex scene tracking is validated against a number of representative real-world scenarios to show that robust, real-time analysis can be performed.</p>
url http://asp.eurasipjournals.com/content/2007/096568
work_keys_str_mv AT aguilerajosep robustrealtimetrackingforvisualsurveillance
AT wildenauerhorst robustrealtimetrackingforvisualsurveillance
AT kampelmartin robustrealtimetrackingforvisualsurveillance
AT thirdedavid robustrealtimetrackingforvisualsurveillance
AT borgmark robustrealtimetrackingforvisualsurveillance
AT ferrymanjames robustrealtimetrackingforvisualsurveillance
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