Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks

Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks

<p/> <p>This paper presents two different modules for the validation of human shape presence in far-infrared images. These modules are part of a more complex system aimed at the detection of pedestrians by means of the simultaneous use of two stereo vision systems in both far-infrared an...

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Main Authors: Ghidoni Stefano, Del Rose Michael, Bertozzi Massimo, Cerri Pietro, Felisa Mirko
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2010/752567
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spelling doaj-801b68da972143e0b461e2e7646ad8742020-11-25T01:32:42ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-0120101752567Pedestrian Validation in Infrared Images by Means of Active Contours and Neural NetworksGhidoni StefanoDel Rose MichaelBertozzi MassimoCerri PietroFelisa Mirko<p/> <p>This paper presents two different modules for the validation of human shape presence in far-infrared images. These modules are part of a more complex system aimed at the detection of pedestrians by means of the simultaneous use of two stereo vision systems in both far-infrared and daylight domains. The first module detects the presence of a human shape in a list of areas of attention using active contours to detect the object shape and evaluating the results by means of a neural network. The second validation subsystem directly exploits a neural network for each area of attention in the far-infrared images and produces a list of votes.</p>http://asp.eurasipjournals.com/content/2010/752567
collection DOAJ
language English
format Article
sources DOAJ
author Ghidoni Stefano
Del Rose Michael
Bertozzi Massimo
Cerri Pietro
Felisa Mirko
spellingShingle Ghidoni Stefano
Del Rose Michael
Bertozzi Massimo
Cerri Pietro
Felisa Mirko
Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks
EURASIP Journal on Advances in Signal Processing
author_facet Ghidoni Stefano
Del Rose Michael
Bertozzi Massimo
Cerri Pietro
Felisa Mirko
author_sort Ghidoni Stefano
title Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks
title_short Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks
title_full Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks
title_fullStr Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks
title_full_unstemmed Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks
title_sort pedestrian validation in infrared images by means of active contours and neural networks
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2010-01-01
description <p/> <p>This paper presents two different modules for the validation of human shape presence in far-infrared images. These modules are part of a more complex system aimed at the detection of pedestrians by means of the simultaneous use of two stereo vision systems in both far-infrared and daylight domains. The first module detects the presence of a human shape in a list of areas of attention using active contours to detect the object shape and evaluating the results by means of a neural network. The second validation subsystem directly exploits a neural network for each area of attention in the far-infrared images and produces a list of votes.</p>
url http://asp.eurasipjournals.com/content/2010/752567
work_keys_str_mv AT ghidonistefano pedestrianvalidationininfraredimagesbymeansofactivecontoursandneuralnetworks
AT delrosemichael pedestrianvalidationininfraredimagesbymeansofactivecontoursandneuralnetworks
AT bertozzimassimo pedestrianvalidationininfraredimagesbymeansofactivecontoursandneuralnetworks
AT cerripietro pedestrianvalidationininfraredimagesbymeansofactivecontoursandneuralnetworks
AT felisamirko pedestrianvalidationininfraredimagesbymeansofactivecontoursandneuralnetworks
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