Comparison of Fiducial Marker Detection and Object Interaction in Activities of Daily Living Utilising a Wearable Vision Sensor.
Tipo de publicación: International Journal
Año de publicación: 2017
Autores: C. Shewell
Director: Javier Medina, Macarena Espinilla, Chris Nugent, M. Donnelly, Huimin Wang
Tipo: International Journal of Communication Systems
Editorial: Wiley
Fecha de publicación: 03/2017
Volumen: 30
Número de volúmenes: 5
Paginación: 1-15
Numero ISSN: 1074-5351
Lugar de publicación: England
Resumen: This paper presents a comparison between algorithms (Oriented FAST and Rotated BRIEF (ORB) and Aruco) for the detection of fiducial markers placed throughout a smart environment. A series of activities of daily living (ADL) were conducted while monitoring a first-person perspective of the situation; this was achieved through the usage of the Google Glass platform. Fiducial markers were employed, as a means to assist with the detection of specific objects of interest, within the environment. Each marker was assigned unique Identification (ID) and was used to identify the object. Three activities were performed by a participant within the environment. On subsequent trials of the solution, lighting conditions were modified to assess fiducial marker detection rates on a frame-by-frame basis. This paper presents the results from this investigation, detailing performance measure for each object detected under various lighting conditions, motion blur and distance from the objects. An intelligent system was developed to specifically consider distance estimation in order to aid with the filtering out of false interactions. A linear filtering method was applied along with a fuzzy membership function to estimate the degree of user interaction, which assists in removing false positives generated by the occupant. The intelligent system returns an average precision, recall and an F-Measure of 0.99, 0.62 and 0.49, respectively
DOI: 10.1002/dac.3223
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