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

• Main Authors: Dadiz, Bryan G., Ruiz, Conrado R.
• Format: text
• Published: Animo Repository 2019
• Subjects: Facial expression; Optical pattern recognition; Depression, Mental—Diagnosis—Automation; Computer vision; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2926
• Institution: De La Salle University

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 keyfra...