Gender and age groups classifications for semantic annotation of videos

Date

2010-11-12

Author

Yaprakkaya, Gökhan
Çiçekli, Fehime Nihan
Ulusoy, İlkay

Metadata

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper presents a combination of methods for gender identification and age group classification for semantic annotation of videos. The system has two different running modes as 'Training Mode' and 'Classification Mode'. The gender classifier achieves over 96% accuracy and the age group classifier achieves over 87% accuracy in age group classification. © 2011 Springer Science+Business Media B.V.

Subject Keywords

Adaboost, Age Group Classification, DCT Mod2 Features, Face Tracking, Gender Classification, LBP features, Random Forest

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651567957&origin=inward
https://hdl.handle.net/11511/106692

DOI

https://doi.org/10.1007/978-90-481-9794-1_44

Conference Name

25th International Symposium on Computer and Information Sciences, ISCIS 2010

Collections

Department of Computer Engineering, Conference / Seminar

Citation Formats

G. Yaprakkaya, F. N. Çiçekli, and İ. Ulusoy, “Gender and age groups classifications for semantic annotation of videos,” London, İngiltere, 2010, vol. 62 LNEE, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651567957&origin=inward.