Classification and weakly supervised pain localization using multiple segment representation
Automatic pain recognition from videos is a vital clinical application and, owing to its spontaneous nature, poses interesting challenges to automatic facial expression recognition (AFER) research. Previous pain vs no-pain systems have highlighted two major challenges: (1) ground truth is provided for the sequence, but the presence or absence of the target expression for a given frame is unknown, and (2) the time point and the duration of the pain expression event(s) in each video are unknown....[Show more]
|Collections||ANU Research Publications|
|Source:||Image and Vision Computing|
|01_Sikka_Classification_and_weakly_2014.pdf||1.11 MB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.