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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 ISSN 0031-3203.
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WRAP_8471118-es-200815-fantjahjadi-pr2015.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (547Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.patcog.2015.04.025
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 | ||||||||||
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Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > Q Science (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > 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: |
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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 | ||||||||||
Date of first compliant deposit: | 30 December 2015 | ||||||||||
Date of first compliant Open Access: | 1 January 2017 | ||||||||||
Funder: | China Scholarship Council (CSC), University of Warwick | ||||||||||
Grant number: | 201206710046) |
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