Our work consists in finding a way to recognize activities performed by two people that collaborate in a working environment. Starting from results obtained in the past years by Gong, Medioni and other authors, we go a step forward, trying to construct a learning function that is able to generalize the model provided by the authors cited before. Moreover, we search for a space in which we can map the points corresponding to the poses, over time, of the skeletons of the two subjects, so that no information is lost.
Collaborative Activities Understanding from 3D Data / Natola, Fabrizio; Ntouskos, Valsamis; PIRRI ARDIZZONE, Maria Fiora. - ELETTRONICO. - (2015), pp. 19-23. (Intervento presentato al convegno Doctoral Consortium on Pattern Recognition Applications and Methods tenutosi a Lisbona, Portogallo nel 10-12 Gennaio 2015).
Collaborative Activities Understanding from 3D Data
NATOLA, FABRIZIO
;NTOUSKOS, VALSAMIS;PIRRI ARDIZZONE, Maria Fiora
2015
Abstract
Our work consists in finding a way to recognize activities performed by two people that collaborate in a working environment. Starting from results obtained in the past years by Gong, Medioni and other authors, we go a step forward, trying to construct a learning function that is able to generalize the model provided by the authors cited before. Moreover, we search for a space in which we can map the points corresponding to the poses, over time, of the skeletons of the two subjects, so that no information is lost.| File | Dimensione | Formato | |
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