A dynamic texture-based approach to recognition of facial actions and their temporal models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Sander KoelstraIoannis Patras

Abstract

In this work, we propose a dynamic texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of temporal segments: neutral, onset, apex, and offset) in near-frontal-view face videos. Two approaches to modeling the dynamics and the appearance in the face region of an input video are compared: an extended version of Motion History Images and a novel method based on Nonrigid Registration using Free-Form Deformations (FFDs). The extracted motion representation is used to derive motion orientation histogram descriptors in both the spatial and temporal domain. Per AU, a combination of discriminative, frame-based GentleBoost ensemble learners and dynamic, generative Hidden Markov Models detects the presence of the AU in question and its temporal segments in an input image sequence. When tested for recognition of all 27 lower and upper face AUs, occurring alone or in combination in 264 sequences from the MMI facial expression database, the proposed method achieved an average event recognition accuracy of 89.2 percent for the MHI method and 94.3 percent for the FFD method. The generalization performance of the FFD method has been tested using the Cohn-Kanade...Continue Reading

References

Oct 26, 1999·IEEE Transactions on Medical Imaging·D RueckertD J Hawkes
Oct 16, 2004·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Maja Pantic, Leon J M Rothkrantz
May 7, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yongmian Zhang, Qiang Ji
Jun 24, 2005·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Guodong Guo, Charles R Dyer
Feb 14, 2006·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Keith Anderson, Peter W McOwan
Apr 11, 2006·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Maja Pantic, Ioannis Patras
Feb 8, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Irene Kotsia, Ioannis Pitas
Apr 14, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Guoying Zhao, Matti Pietikäinen
Aug 19, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yan TongQiang Ji
Nov 26, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Zhihong ZengThomas S Huang
Feb 1, 2001·IEEE Transactions on Pattern Analysis and Machine Intelligence·Ying-Li TianJeffrey F Cohn

❮ Previous
Next ❯

Citations

Oct 13, 2011·Cognitive Processing·Laurens van der Maaten, Emile Hendriks
Dec 23, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Heng Yang, Ioannis Patras
Mar 27, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yongqiang LiQiang Ji
Jun 13, 2013·IEEE Transactions on Cybernetics·Bihan JiangMaja Pantic
Aug 29, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Rouzbeh MaaniYee-Hong Yang
Sep 12, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Evangelos SariyanidiAndrea Cavallaro
Dec 17, 2014·IEEE Transactions on Pattern Analysis and Machine Intelligence·Shu LiaoAlbert C S Chung
Mar 10, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yimo GuoMatti Pietikainen
Jun 28, 2012·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Michel F ValstarKlaus Scherer
May 25, 2012·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·T SenechalL Prevost
Jun 13, 2015·IEEE Transactions on Neural Networks and Learning Systems·Lazaros ZafeiriouMaja Pantic
Jan 14, 2016·IEEE Transactions on Pattern Analysis and Machine Intelligence·Ciprian Adrian CorneanuSergio Escalera Guerrero
Nov 26, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Sebastian KaltwangMaja Pantic
Sep 1, 2015·IEEE Transactions on Cybernetics·Xi ZhaoLiming Chen
Feb 1, 2017·IEEE Transactions on Neural Networks and Learning Systems·Wenjie PeiLaurens van der Maaten
Dec 5, 2018·Journal of Healthcare Engineering·Pranti Dutta, Nachamai M
Jan 1, 2018·International Journal of Computer Vision·Grigorios G ChrysosStefanos Zafeiriou
Jan 14, 2020·Frontiers of Computer Science·Itir Onal ErtugrulJeffrey F Cohn

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.

Related Papers

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
Michel Valstar, Maja Pantic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Yan TongQiang Ji
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
Maja Pantic, Ioannis Patras
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Irene Kotsia, I Pitas
IEEE Transactions on Pattern Analysis and Machine Intelligence
Guoying Zhao, Matti Pietikäinen
© 2021 Meta ULC. All rights reserved