Yüz nirengi noktalarinin zamansal öz-benzerliǧine ve kelime çantasina dayali yüz i̇fadesi ve kafa hareketi tanima

Ismail Ari; Hua Gao; Hazim K. Ekenel; Lale Akarun

doi:10.1109/SIU.2010.5653965

Yüz nirengi noktalarinin zamansal öz-benzerliǧine ve kelime çantasina dayali yüz i̇fadesi ve kafa hareketi tanima

Translated title of the contribution: Facial expression and head gesture recognition using temporal self-similarity and bag of words of facial landmarks

Ismail Ari, Hua Gao, Hazim K. Ekenel, Lale Akarun

Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Automatic recognition of facial expressions and head gestures plays an important role in a wide range of research area including sign language recognition and human-computer interaction. In this work, we adopt the well-performing self-similarity based action recognition method to classify facial expressions and head gestures. Additionally, we propose a novel approach for facial gesture recognition based on the histogram of tracked facial landmarks. We fuse the presented techniques with our previous Hidden Markov Model based approach [1] and get 15% increase in classification results.

Translated title of the contribution	Facial expression and head gesture recognition using temporal self-similarity and bag of words of facial landmarks
Original language	Undefined
Title of host publication	SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference
Pages	836-839
Number of pages	4
DOIs	https://doi.org/10.1109/SIU.2010.5653965
State	Published - 2010
Event	18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 - Diyarbakir, Turkey Duration: Apr 22 2010 → Apr 24 2010

Publication series

Name	SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference

Conference

Conference	18th IEEE Signal Processing and Communications Applications Conference, SIU 2010
Country/Territory	Turkey
City	Diyarbakir
Period	4/22/10 → 4/24/10

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

Access to Document

10.1109/SIU.2010.5653965

Cite this

Ari, I., Gao, H., Ekenel, H. K., & Akarun, L. (2010). Yüz nirengi noktalarinin zamansal öz-benzerliǧine ve kelime çantasina dayali yüz i̇fadesi ve kafa hareketi tanima. In SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference (pp. 836-839). Article 5653965 (SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference). https://doi.org/10.1109/SIU.2010.5653965

Yüz nirengi noktalarinin zamansal öz-benzerliǧine ve kelime çantasina dayali yüz i̇fadesi ve kafa hareketi tanima. / Ari, Ismail; Gao, Hua; Ekenel, Hazim K. et al.
SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference. 2010. p. 836-839 5653965 (SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ari, I, Gao, H, Ekenel, HK & Akarun, L 2010, Yüz nirengi noktalarinin zamansal öz-benzerliǧine ve kelime çantasina dayali yüz i̇fadesi ve kafa hareketi tanima. in SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference., 5653965, SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference, pp. 836-839, 18th IEEE Signal Processing and Communications Applications Conference, SIU 2010, Diyarbakir, Turkey, 4/22/10. https://doi.org/10.1109/SIU.2010.5653965

Ari I, Gao H, Ekenel HK, Akarun L. Yüz nirengi noktalarinin zamansal öz-benzerliǧine ve kelime çantasina dayali yüz i̇fadesi ve kafa hareketi tanima. In SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference. 2010. p. 836-839. 5653965. (SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference). doi: 10.1109/SIU.2010.5653965

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abstract = "Automatic recognition of facial expressions and head gestures plays an important role in a wide range of research area including sign language recognition and human-computer interaction. In this work, we adopt the well-performing self-similarity based action recognition method to classify facial expressions and head gestures. Additionally, we propose a novel approach for facial gesture recognition based on the histogram of tracked facial landmarks. We fuse the presented techniques with our previous Hidden Markov Model based approach [1] and get 15% increase in classification results.",

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AB - Automatic recognition of facial expressions and head gestures plays an important role in a wide range of research area including sign language recognition and human-computer interaction. In this work, we adopt the well-performing self-similarity based action recognition method to classify facial expressions and head gestures. Additionally, we propose a novel approach for facial gesture recognition based on the histogram of tracked facial landmarks. We fuse the presented techniques with our previous Hidden Markov Model based approach [1] and get 15% increase in classification results.

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Yüz nirengi noktalarinin zamansal öz-benzerliǧine ve kelime çantasina dayali yüz i̇fadesi ve kafa hareketi tanima

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