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Robust Real-Time Facial Expressions Tracking and Recognition

Robust Real-Time Facial Expressions Tracking and Recognition

J. Zraqou, W. Alkhadour, A. Al-Nu'aimi
Copyright: © 2014 |Volume: 4 |Issue: 1 |Pages: 11
ISSN: 2155-5605|EISSN: 2155-5613|EISBN13: 9781466657106|DOI: 10.4018/ijtem.2014010108
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MLA

Zraqou, J., et al. "Robust Real-Time Facial Expressions Tracking and Recognition." IJTEM vol.4, no.1 2014: pp.95-105. http://doi.org/10.4018/ijtem.2014010108

APA

Zraqou, J., Alkhadour, W., & Al-Nu'aimi, A. (2014). Robust Real-Time Facial Expressions Tracking and Recognition. International Journal of Technology and Educational Marketing (IJTEM), 4(1), 95-105. http://doi.org/10.4018/ijtem.2014010108

Chicago

Zraqou, J., W. Alkhadour, and A. Al-Nu'aimi. "Robust Real-Time Facial Expressions Tracking and Recognition," International Journal of Technology and Educational Marketing (IJTEM) 4, no.1: 95-105. http://doi.org/10.4018/ijtem.2014010108

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Abstract

Enabling computer systems to track and recognize facial expressions and then infer emotions from about real time video is a challenging research topic. In this work, a real time approach to emotion recognition through facial expression in live video is introduced. Several automatic methods for face localization, facial feature tracker, and facial expression recognition are employed. A robust tracking is achieved by using a face mask to resolve mismatches that could be generated during the tracking process. Action units (AUs) are then built to recognize the facial expression in each frame. The main objective of this work is to provide a prediction ability of a human behavior such as a crime, angry or for being nervous.

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