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A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences

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Fan, Xijian and Tjahjadi, Tardi (2015) A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences. Pattern Recognition, 48 (11). pp. 3407-3416. doi:10.1016/j.patcog.2015.04.025

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Official URL: http://dx.doi.org/10.1016/j.patcog.2015.04.025

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Abstract

Facial expression causes different parts of the facial region to change over time and thus dynamic descriptors are inherently more suitable than static descriptors for recognising facial expressions. In this paper, we extend the spatial pyramid histogram of gradients to spatio-temporal domain to give 3-dimensional facial features and integrate them with dense optical flow to give a spatio-temporal descriptor which extracts both the spatial and dynamic motion information of facial expressions. A multi-class support vector machine based classifier with one-to-one strategy is used to recognise facial expressions. Experiments on the CK+ and MMI datasets using leave-one-out cross validation scheme demonstrate that the integrated framework achieves a better performance than using individual descriptor separately. Compared with six state of the art methods, the proposed framework demonstrates a superior performance.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > Q Science (General)
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Facial expression, Pattern recognition systems, Artificial intelligence, Human-computer interaction, Image processing -- Digital techniques
Journal or Publication Title: Pattern Recognition
Publisher: Pergamon
ISSN: 0031-3203
Official Date: November 2015
Dates:
DateEvent
November 2015Published
8 May 2015Available
27 April 2015Accepted
13 October 2014Submitted
Volume: 48
Number: 11
Page Range: pp. 3407-3416
DOI: 10.1016/j.patcog.2015.04.025
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: China Scholarship Council (CSC), University of Warwick
Grant number: 201206710046)

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