Real time extraction of body soft biometric from 3D videos

Velardo, Carmelo; Dugelay, Jean-Luc
MM 2011, 19th ACM International Conference on Multimedia, 28 November-1 December, 2011, Scottsdale, USA

In this technical demonstration, we show the application of our research on body soft biometrics. Exploiting a 3D video sensor we are able to extract semantic information that describes subjects standing in front of a camera. Semantic analysis and tracking is performed, a series of anthropometric measures are extracted and used to compute subjects' height, weight, and gender information. Possible applications of such research fall in the medical domain for monitoring elderly people; in the gaming industry for automatic avatar creation, or in smart billboards which collects demographics of the public interested by the commercial. Our algorithm allows the estimation of all these parameters in real time without requiring the computational complexity of a 3D model fitting approach.

 


DOI
Type:
Conférence
City:
Scottsdale
Date:
2011-11-28
Department:
Sécurité numérique
Eurecom Ref:
3441
Copyright:
© ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in MM 2011, 19th ACM International Conference on Multimedia, 28 November-1 December, 2011, Scottsdale, USA http://dx.doi.org/10.1145/2072298.2072454

PERMALINK : https://www.eurecom.fr/publication/3441