Research Goal | Eye Tracking | Gaze
Tracking | Face Tracking |Facial Feature
Tracking |Facial Motion Recovery | Facial Expression Recogntion
Real-Time Facial Feature Tracking Under Significant Facial
Expressions and Various Face Orientations
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Facial
features, such as eyes, eyebrows, nose and mouth, and their spatial
arrangement, are important for the facial interpretation tasks based on
face images, such as face recognition, facial expression analysis and face
animation. Therefore, locating these facial features in a face image
accurately is a crucial step for these tasks to perform well. However, in
reality, the appearance of the facial features in the images varies
significantly among different individuals. Even, for a specific person, the
appearance of the facial features is easily affected by the lighting
conditions, face orientations and facial expressions, etc. Therefore,
accurate facial feature detection and tracking still remains a very
challenging task, especially under different illuminations, face
orientations and facial expressions, etc.
In our research, we proposed an effective approach to
detect and track twenty-eight facial features from the face images with
different facial expressions under various face orientations in real time.
The improvements in facial feature detection and tracking accuracy are
resulted from: (1) combination of the Kalman filtering with the eye
positions to constrain the facial feature locations; (2) the use of
pyramidal Gabor wavelets for efficient facial feature representation; (3)
dynamic and accurate model updating for each facial feature to eliminate
any error accumulation; (4)imposing the global geometry constraints to
eliminate any geometrical violations. By these combinations, the accuracy
of the facial feature tracking reaches a practical acceptable level.
Subsequently, the extracted spatio-temporal relationships among the facial
features can be used to conduct the facial expression classification
successfully.
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Publications:
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(1) Yan Tong and Qiang Ji, “Automatic Eye Position Detection
and Tracking under Natural Facial Movement”, Passive Eye Monitoring,
Editor: Riad I. Hammoud, pp. 67-84, Springer 2007.
(2) Yan Tong, Yang Wang, Zhiwei Zhu, and Qiang Ji, “Robust Facial Feature Tracking
under Varying Face Pose and Facial Expression”, Pattern Recognition, Vol.
40, No. 11, pp. 3195-3208, November 2007.
(3) Zhiwei Zhu and Qiang Ji, Robust Pose Invariant Facial Feature Detection
and Tracking in Real-Time, the 18th International Conference on Pattern
Recognition (ICPR), Hongkong, August, 2006.
(4) Yan Tong, Yang Wang, Zhiwei Zhu, and Qiang Ji, “Facial Feature Tracking
using a Multi-State Hierarchical Shape Model under Varying Face Pose and
Facial Expression”, the 18th International Conference on Pattern
Recognition (ICPR), Hongkong, August, 2006.
(5) Yan Tong and Qiang Ji, “Multiview Facial Feature Tracking with a
Multi-modal Probabilistic Model”, the 18th International Conference on
Pattern Recognition (ICPR), Hongkong, August, 2006.
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Demos:
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Real-time facial feature tracking demo (short version)
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Real-time facial Feature tracking demo (long version)
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Real-time facial feature tracking demo with estimated
3D head pose
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Latest
Demo: Real time facial feature tracking
under large pose and scale changes
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