Human detection using a mobile platform and novel features derived from a visual saliency mechanism

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dc.contributor.authorMontabone, Sebastian
dc.contributor.authorSoto, Alvaro
dc.date.accessioned2024-01-10T12:39:27Z
dc.date.available2024-01-10T12:39:27Z
dc.date.issued2010
dc.description.abstractHuman detection is a key ability to an increasing number of applications that operates in human inhabited environments or needs to interact with a human user. Currently, most successful approaches to human detection are based on background substraction techniques that apply only to the case of static cameras or cameras with highly constrained motions. Furthermore, many applications rely on features derived from specific human poses, such as systems based on features derived from the human face which is only visible when a person is facing the detecting camera. In this work, we present a new computer vision algorithm designed to operate with moving cameras and to detect humans in different poses under partial or complete view of the human body. We follow a standard pattern recognition approach based on four main steps: (i) preprocessing to achieve color constancy and stereo pair calibration, (ii) segmentation using depth continuity information, (iii) feature extraction based on visual saliency, and (iv) classification using a neural network. The main novelty of our approach lies in the feature extraction step, where we propose novel features derived from a visual saliency mechanism. In contrast to previous works, we do not use a pyramidal decomposition to run the saliency algorithm, but we implement this at the original image resolution using the so-called integral image. Our results indicate that our method: (j) outperforms state-of-the-art techniques for human detection based on face detectors, (ii) outperforms state-of-the-art techniques for complete human body detection based on different set of visual features, and (iii) operates in real time onboard a mobile platform, such as a mobile robot (15 fps). (C) 2009 Elsevier B.V. All rights reserved.
dc.description.funderFONDECYT
dc.description.funderAnillos
dc.fechaingreso.objetodigital26-03-2024
dc.format.extent12 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.imavis.2009.06.006
dc.identifier.eissn1872-8138
dc.identifier.issn0262-8856
dc.identifier.urihttps://doi.org/10.1016/j.imavis.2009.06.006
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/77192
dc.identifier.wosidWOS:000273103300010
dc.information.autorucIngeniería;Montabone S;S/I;125259
dc.information.autorucIngeniería;Soto A;S/I;73678
dc.issue.numero3
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final402
dc.pagina.inicio391
dc.publisherELSEVIER
dc.revistaIMAGE AND VISION COMPUTING
dc.rightsacceso restringido
dc.subjectHuman detection
dc.subjectVisual saliency
dc.subjectVisual features
dc.subjectMoving cameras
dc.subjectTRACKING
dc.subjectVISION
dc.subjectSYSTEM
dc.subjectSTEREO
dc.titleHuman detection using a mobile platform and novel features derived from a visual saliency mechanism
dc.typeartículo
dc.volumen28
sipa.codpersvinculados125259
sipa.codpersvinculados73678
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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