Título:
|
A new relational geometric feature for human action recognition
|
Autor/a:
|
Vinagre Ruiz, Manuel; Aranda López, Juan; Casals Gelpi, Alicia
|
Otros autores:
|
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Institut de Bioenginyeria de Catalunya; Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
Abstract:
|
Pose-based features have demonstrated to outperform low-levelappearance features in human action recognition. New RGB-D cameras provide locations of human joints with which geometric correspondences can be easily calculated. In this article, a new geometric correspondence between joints called Trisarea feature is presented. It is defined as the area of the triangle formed by three joints. Relevant triangles describing human pose are identified and it is shown how the variation over time of the selected Trisarea features constitutes a descriptor of human action.
Experimental results show a comparison with other methods and demonstrate how this Trisarea-based representation can be applied to human action recognition. |
Abstract:
|
Peer Reviewed |
Materia(s):
|
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes -Human activity recognition -Pattern recognition systems -Pose-based feature -Action descriptor -Action recognition -Reconeixement de formes (Informàtica) |
Derechos:
|
|
Tipo de documento:
|
Artículo - Versión publicada Artículo |
Editor:
|
Springer
|
Compartir:
|
|