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Pose recognition in indoor environments using a fisheye camera and a parametric human model
dc.creator | Delibasis, K. K. | en |
dc.creator | Plagianakos, V. P. | en |
dc.creator | Maglogiannis, I. | en |
dc.date.accessioned | 2015-11-23T10:25:19Z | |
dc.date.available | 2015-11-23T10:25:19Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 9789897580048 | |
dc.identifier.uri | http://hdl.handle.net/11615/26976 | |
dc.description.abstract | In this paper we present a system that uses computer vision techniques and a deformable 3D human model, in order to recognize the posture of a monitored person, given the segmented human silhouette from the background. The video data are acquired indoors from a fixed fish-eye camera placed in the living environment. The implemented 3D human model collaborates with a fish-eye camera model, allowing the calculation of the real human position in the 3D-space and consequently recognizing the posture of the monitored person. The paper discusses the details of the human model and fish-eye camera model, as well as the posture recognition methodology. Initial results are also presented for a small number of video sequences, of walking or standing humans. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved. | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84906895225&partnerID=40&md5=97a8f6c195acbf4c0d284513efcbf80c | |
dc.subject | 3D Human Modeling | en |
dc.subject | Computer Vision | en |
dc.subject | Fisheye Camera Modeling | en |
dc.subject | Human Activity Detection | en |
dc.subject | Posture Recognition | en |
dc.subject | Motion estimation | en |
dc.subject | Pattern recognition | en |
dc.subject | Video recording | en |
dc.subject | Computer vision techniques | en |
dc.subject | Fish-eye cameras | en |
dc.subject | Human-activity detection | en |
dc.subject | Indoor environment | en |
dc.subject | Living environment | en |
dc.subject | Pose recognition | en |
dc.subject | Cameras | en |
dc.title | Pose recognition in indoor environments using a fisheye camera and a parametric human model | en |
dc.type | conferenceItem | en |
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