Automatic clothes segmentation for soft biometrics


Autoria(s): Freire-Obregón, David; Castrillón-Santana, Modesto; Ramón Balmaseda, Enrique José; Lorenzo Navarro, José Javier
Data(s)

15/02/2016

15/02/2016

2014

Resumo

<p>[EN]During the last decade, researchers have verified that clothing can provide information for gender recognition. However, before extracting features, it is necessary to segment the clothing region. We introduce a new clothes segmentation method based on the application of the GrabCut technique over a trixel mesh, obtaining very promising results for a close to real time system. Finally, the clothing features are combined with facial and head context information to outperform previous results in gender recognition with a public database.</p>

Identificador

http://hdl.handle.net/10553/15756

<p>10.1109/ICIP.2014.7026007</p>

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

<p>Image Processing (ICIP), 2014 IEEE International Conference on</p>

Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject