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Hierarchical eyelid and face tracking

AuthorsOrozco, Javier; Gonzàlez, Jordi; Rius, Ignasi; Roca, F. Xavier
KeywordsPattern recognition: Computer vision
Computer vision
Issue Date2007
CitationPattern Recognition and Image Analysis: 499-506 (2007)
SeriesLecture Notes in Computer Science 4477
AbstractMost applications on Human Computer Interaction (HCI) require to extract the movements of user faces, while avoiding high memory and time expenses. Moreover, HCI systems usually use low-cost cameras, while current face tracking techniques strongly depend on the image resolution. In this paper, we tackle the problem of eyelid tracking by using Appearance-Based Models, thus achieving accurate estimations of the movements of the eyelids, while avoiding cues, which require high-resolution faces, such as edge detectors or colour information. Consequently, we can track the fast and spontaneous movements of the eyelids, a very hard task due to the small resolution of the eye regions. Subsequently, we combine the results of eyelid tracking with the estimations of other facial features, such as the eyebrows and the lips. As a result, a hierarchical tracking framework is obtained: we demonstrate that combining two appearance-based trackers allows to get accurate estimates for the eyelid, eyebrows, lips and also the 3D head pose by using low-cost video cameras and in real-time. Therefore, our approach is shown suitable to be used for further facial-expression analysis.
DescriptionPresentado al 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA-2007) celebrado en Girona (Spain) del 6 al 8 de junio.
Publisher version (URL)http://dx.doi.org/10.1007/978-3-540-72847-4_64
Appears in Collections:(IRII) Libros y partes de libros
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