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Título : ChaLearn Looking at People 2015: apparent age and cultural event recognition datasets and results
Autoría: Escalera, Sergio  
Fabian, Junior
Pardo, Pablo
Baró, Xavier  
Gonzàlez Sabaté, Jordi
Escalante, Hugo Jair  
Misevic, Dusan
Steiner, Ulrich
Guyon, Isabelle
Otros: Universitat de Barcelona (UB)
Computer Vision Center
Universitat Oberta de Catalunya (UOC)
Universitat Autònoma de Barcelona (UAB)
INAOE Mexico
Center for Research and Interdisciplinarity
Max-Planck Odense Center
Clopinet
ChaLearn
Citación : Escalera Guerrero, S., Fabian, J., Pardo, P., Baró Solé, X., Gonzàlez Sabaté, J., Escalante, H.J., Misevic, D., Steiner, U. & Guyon, I. (2016). ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results. IEEE International Conference on Computer Vision. Proceedings, 2016, 243-251. doi: 10.1109/ICCVW.2015.40
Resumen : Following previous series on Looking at People (LAP) competitions [14, 13, 11, 12, 2], in 2015 ChaLearn ran two new competitions within the field of Looking at People: (1) age estimation, and (2) cultural event recognition, both in still images. We developed a crowdsourcing application to collect and label data about the apparent age of people (as opposed to the real age). In terms of cultural event recognition, one hundred categories had to be recognized. These tasks involved scene understanding and human body analysis. This paper summarizes both challenges and data, as well as the results achieved by the participants of the competition. Details of the ChaLearn LAP competitions can be found at http://gesture.chalearn.org/.
Palabras clave : cara
bases de datos
estimación
detección de caras
diferencias culturales
reconocimiento de imágenes
DOI: 10.1109/ICCVW.2015.40
Tipo de documento: info:eu-repo/semantics/conferenceObject
Fecha de publicación : feb-2016
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