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Exemplar Hidden Markov Models for Classification of Facial Expressions in Videos

Sikka, Karan; Dhall, Abhinav; Bartlett, Marian

Description

Facial expressions are dynamic events comprised of meaningful temporal segments. A common approach to facial expression recognition in video is to first convert variable-length expression sequences into a vector representation by computing summary statistics of image-level features or of spatio-temporal features. These representations are then passed to a discriminative classifier such as a support vector machines (SVM). However, these approaches don't fully exploit the temporal dynamics of...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Conference paper
URI: http://hdl.handle.net/1885/103781
Source: Exemplar Hidden Markov Models for Classification of Facial Expressions in Videos
DOI: 10.1109/CVPRW.2015.7301350

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