Detecting depression in videos using uniformed local binary pattern on facial features

Bryan G. Dadiz, Conrado R. Ruiz

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

8 Cites (Scopus)

Resum

The paper presents the classification model of detecting depression based on local binary pattern (LBP) texture features. The study used the video recording from the SEMAINE database. The face image is cropped from a video and extracting the Uniformed LBP features in every single frame. Video keyframe extraction technique was applied to improve frame sampling to a video. Using the SVM with RBF kernel on the original ULBP features, result showed an accuracy of 98% on identifying a depressed person from a video. Also, part of the classification is to implement Principal Component Analysis on the original ULBP features to analyze facial signals by comparing both of the accuracy results. Using the original ULBP features with SVM applying radial basis function kernel, it resulted higher in accuracy whereas the result of using only ten features computed from the PCA of the original ULBP features. The result of the PCA decreased by 5% gaining only 93% in accuracy applying the same cost and gamma values of SVM RBF kernel used on the original ULBP features.

Idioma originalAnglès
Títol de la publicacióComputational Science and Technology - 5th ICCST 2018
EditorsRayner Alfred, Ag Asri Ag Ibrahim, Yuto Lim, Patricia Anthony
EditorSpringer Verlag
Pàgines413-422
Nombre de pàgines10
ISBN (imprès)9789811326219
DOIs
Estat de la publicacióPublicada - 2019
Publicat externament
Esdeveniment5th International Conference on Computational Science and Technology, ICCST 2018 - Kota Kinabalu, Malaysia
Durada: 29 d’ag. 201830 d’ag. 2018

Sèrie de publicacions

NomLecture Notes in Electrical Engineering
Volum481
ISSN (imprès)1876-1100
ISSN (electrònic)1876-1119

Conferència

Conferència5th International Conference on Computational Science and Technology, ICCST 2018
País/TerritoriMalaysia
CiutatKota Kinabalu
Període29/08/1830/08/18

Fingerprint

Navegar pels temes de recerca de 'Detecting depression in videos using uniformed local binary pattern on facial features'. Junts formen un fingerprint únic.

Com citar-ho