DocumentCode :
3661301
Title :
ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition
Author :
Sergio Escalera;Jordi Gonzàlez;Xavier Baró;Pablo Pardo;Junior Fabian;Marc Oliu;Hugo Jair Escalante;Ivan Huerta;Isabelle Guyon
Author_Institution :
University of Barcelona, Computer Vision Center, UAB, Spain
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
8
Abstract :
Following previous series on Looking at People (LAP) challenges [1], [2], [3], in 2015 ChaLearn runs two new competitions within the field of Looking at People: age and cultural event recognition in still images. We propose the first crowd-sourcing application to collect and label data about apparent age of people instead of the real age. In terms of cultural event recognition, tens of categories have to be recognized. This involves scene understanding and human analysis. This paper summarizes both challenges and data, providing some initial baselines. The results of the first round of the competition were presented at ChaLearn LAP 2015 IJCNN special session on computer vision and robotics http://www.dtic.ua.es/~jgarcia/IJCNN2015. Details of the ChaLearn LAP competitions can be found at http://gesture.chalearn.org/.
Keywords :
"Aging","Discrete wavelet transforms","Entertainment industry","Security","Databases","Nickel","Logic gates"
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2015 International Joint Conference on
Electronic_ISBN :
2161-4407
Type :
conf
DOI :
10.1109/IJCNN.2015.7280614
Filename :
7280614
Link To Document :
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