Paper Info
Title
Infrared-Based Facial Points Tracking and Action Units Detection in Context of Car Driving Simulator.
Abstract
Facial expressions (FE) are one of the important cognitive load markers in the context of car driving. Any muscular activity can be coded as an action unit (AU) which are the building blocks of FE. Precise facial point tracking is crucial since it is a necessary step for AU detection. Here, we present our progress in FE analysis based on AU detection on face infrared videos in the context of a car driving simulator. First, we propose a real-time facial points tracking method (HCPF-AAM) using a modified particle filter (PF) based on Harris corner samples which is optimized and combined with an Active Appearance Model (AAM) approach. Robustness of PF, precision of Harris corner-based samples, and optimization of AAM result in a powerful facial points tracking on very low-contrast images acquired under near-infrared (NIR) illumination. Second, detection of the most common AUs in the context of car driving, identified by a certified Facial Action Coding System coder is presented. For detection of each specified AU, the spatio-temporal analysis of related tracked facial points is performed. Then, a combination of rule-based scheme with Probabilistic Actively Learned Support Vector Machines is developed to classify the features calculated from the related tracked facial points. Results show that with such a scheme, we can obtain more than 91% of precision in the detection of the five most common AUs for low-contrast NIR images and 90% of precision in the MMI dataset.
Year
DOI
Venue
2012
10.1186/1687-5281-2012-15
EURASIP J. Image and Video Processing
Keywords
Field
DocType
Particle Filter, Active Appearance Model, Facial Point, Harris Corner, Facial Action Code System
Computer vision,Facial Action Coding System,Driving simulator,Pattern recognition,Computer science,Support vector machine,Particle filter,Robustness (computer science),Active appearance model,Facial expression,Artificial intelligence,Probabilistic logic
Journal
Volume
Issue
ISSN
2012
1
1687-5281
Citations 
PageRank 
References 
1
0.34
15
Authors
3
Name
Order
Citations
PageRank
Parisa Darvish Zadeh Varcheie1716.18
Claude Chapdelaine2275.55
Langis Gagnon325730.21