Soft bimetrics has become a trending research topic over the past decade. In last years the increase of new technologies such as the wearable camera devices has introduced a new challenge into the gender classification problem. In this sense the ability to classify the gender not by an image but by the 2D estimated skeleton points is considered in this paper. Our experiments show that the human gender can be classified just considering the pose information provided by the body pose information. The proposed method have shown a remarkable performance on a dataset where subjects and camera are in movement.

Gender classification on 2D human skeleton

Barra P.;Bisogni C.;Nappi M.;
2019-01-01

Abstract

Soft bimetrics has become a trending research topic over the past decade. In last years the increase of new technologies such as the wearable camera devices has introduced a new challenge into the gender classification problem. In this sense the ability to classify the gender not by an image but by the 2D estimated skeleton points is considered in this paper. Our experiments show that the human gender can be classified just considering the pose information provided by the body pose information. The proposed method have shown a remarkable performance on a dataset where subjects and camera are in movement.
2019
978-1-7281-3578-6
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4726152
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 10
social impact