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http://hdl.handle.net/10609/125266
Title: ChaLearn Looking at People 2015: apparent age and cultural event recognition datasets and results
Author: Escalera Guerrero, Sergio
Fabian, Junior
Pardo, Pablo
Baró Solè, Xavier
Gonzàlez Sabaté, Jordi
Escalante, Hugo Jair
Misevic, Dusan
Steiner, Ulrich
Guyon, Isabelle
Others: Universitat de Barcelona
Computer Vision Center
Universitat Oberta de Catalunya (UOC)
Universitat Autònoma de Barcelona
INAOE Mexico
Center for Research and Interdisciplinarity
Max-Planck Odense Center
Clopinet
ChaLearn
Keywords: face
databases
estimation
face detection
cultural differences
image recognition
Issue Date: Feb-2016
Publisher: IEEE International Conference on Computer Vision. Proceedings
Citation: 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
Published in: IEEE International Conference on Computer Vision, Santiago, Xile, 7-12 de febrer de 2015
Project identifier: info:eu-repo/grantAgreement/TIN2012-39051
info:eu-repo/grantAgreement/TIN2013-43478-P
Also see: https://doi.org/10.1109/ICCVW.2015.40
Abstract: 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/.
Language: English
URI: http://hdl.handle.net/10609/125266
ISSN: 1550-5499MIAR
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