Servicios Personalizados
Revista
Articulo
Indicadores
Citado por SciELO
Accesos
Links relacionados
Similares en SciELO
Compartir
Computación y Sistemas
versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546
Resumen
MANSOURI, Nabila. Automatic Age Estimation: A Survey. Comp. y Sist. [online]. 2020, vol.24, n.2, pp.883-895. Epub 04-Oct-2021. ISSN 2007-9737. https://doi.org/10.13053/cys-24-2-3317.
Aging is non-reversible process. Human face and gait change with time which reflects major variations in appearance, the vast majority of people are able to easily recognize human traits like emotional states, where they can tell if the person is happy, sad or angry from the face, likewise, it is easy to determine the gender of the person. However, knowing person’s age is a very challenge task. Hence, significant interest in the computer vision and pattern recognition research community is given to automatic age estimation. This paper, presents a thorough analysis of recent research in aging and age estimation. We discuss popular algorithms used in age estimation and existing models. Underline age estimation challenges especially using RGB images. Finally insights for future research based on depth map and Kinect camera.
Palabras llave : Age estimation; face aging; gait; survey; RGB-D; depth map.