BROWSE
Detail
Journal Article
Improved Two-Phase Framework for Facial Emotion Recognition
- Authors
- Hyunjin Yoon, Sangwook Park, Yongkwi Lee, Mikyong Han, Jong-Hyun Jang
- Issue Date
- 2015-12
- Citation
- ETRI Journal, v.37, no.6, pp.1199-1210
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- Automatic emotion recognition based on facial cues, such as facial action units (AUs), has received huge attention in the last decade due to its wide variety of applications. Current computer-based automated twophase facial emotion recognition procedures first detect AUs from input images and then infer target emotions from the detected AUs. However, more robust AU detection and AU-to-emotion mapping methods are required to deal with the error accumulation problem inherent in the multiphase scheme. Motivated by our key observation that a single AU detector does not perform equally well for all AUs, we propose a novel two-phase facial emotion recognition framework, where the presence of AUs is detected by group decisions of multiple AU detectors and a target emotion is inferred from the combined AU detection decisions. Our emotion recognition framework consists of three major components 창?궗" multiple AU detection, AU detection fusion, and AU-to-emotion mapping. The experimental results on two real-world face databases demonstrate an improved performance over the previous two-phase method using a single AU detector in terms of both AU detection accuracy and correct emotion recognition rate.
- KSP Keywords
- Computer-based, Detection accuracy, Error accumulation, Face databases, Facial action units(AUs), Facial emotion recognition, Group decisions, Mapping method, Real-world, Recognition rate, Two-phase method