Paper
19 March 2003 Tracking of facial features using deformable triangles
P. P. Pradeep, Paul F. Whelan
Author Affiliations +
Abstract
In this paper we present a novel algorithm to track the facial features using a deformable triangle model. The face is modeled as an isosceles triangle connecting the eyes and lips which are called as features of interest (FoI). A maximum likelihood estimator is used to estimate the position of such a triangle in the image sequences by maximizing the correlation value of the feature template in the image and also the probability that the resulting structure represents a face structure. A method is proposed to remove the noise in the obtained structure by projecting it into a shape subspace of isosceles triangles. Burst error in tracking is removed by using a Kalman filter. The algorithm can successfully locate and track the facial features on two sets of video sequences obtained in the laboratory under normal lighting condition with a cluttered background.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. P. Pradeep and Paul F. Whelan "Tracking of facial features using deformable triangles", Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); https://doi.org/10.1117/12.463680
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Filtering (signal processing)

Detection and tracking algorithms

Light sources and illumination

Eye models

Video

Feature extraction

Motion models

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