Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5089
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dc.contributor.authorTonelo,Cen
dc.contributor.authorAntónio Paulo Moreiraen
dc.contributor.authorGermano Veigaen
dc.date.accessioned2017-12-28T12:33:15Z-
dc.date.available2017-12-28T12:33:15Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/5089-
dc.identifier.urihttp://dx.doi.org/10.1109/healthcom.2013.6720639en
dc.description.abstractThe main objective of this project was to evaluate the sensing system for person detection in the scope of its integration in a mobile robotic platform for Ambient Assisted Living. Two sensors were considered, a camera and a depth sensor. For the camera (2D), 3 different algorithms were implemented: face detection, tracking and recognition. For the depth sensor the whole body detection was tested using skeleton tracking. The results showed that the face detection and recognition algorithms had a very small range, and the face tracking demonstrated to reach a higher distance. However, the latter exhibited poor results when confronted with illumination variations. The skeleton tracking algorithm provided good results, being capable of tracking relatively close to the sensor and up to 3 meters distance. Thus, the 2D face recognition can be used for short distances to identify the person, while the 3D skeleton tracking can be appropriated for distant tracking of the person. This work showed that the integration of these sensing systems, in a robotic platform, can make a robust robot capable of human interaction in home environments. © 2013 IEEE.en
dc.languageengen
dc.relation5157en
dc.relation5674en
dc.rightsinfo:eu-repo/semantics/embargoedAccessen
dc.titleEvaluation of sensors and algorithms for person detection for personal robotsen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:CRIIS - Other Publications

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