Segmentation and tracking of faces in color images

Author

Sobottka, Karin ; Pitas, Ioannis

Author_Institution

Dept. of Inf., Thessaloniki Univ., Greece

fYear

1996

fDate

14-16 Oct 1996

Firstpage

236

Lastpage

241

Abstract

The authors present a new approach for automatically segmentation and tracking of faces in color images. Segmentation of faces is performed by evaluating color and shape information. First, skin-like regions are determined based on the color attributes hue and saturation. Then regions with elliptical shape are selected as face hypotheses. They are verified by searching for facial features in their interior. After a face is reliably detected it is tracked over time. Tracking is realized by using an active contour model. The exterior forces of the snake are defined based on color features. They push or pull snaxels perpendicular to the snake. Results for tracking are shown for an image sequence consisting of 150 frames

Keywords

face recognition; feature extraction; image colour analysis; image segmentation; image sequences; skin; tracking; active contour model; automatic face segmentation; automatic face tracking; color images; color information; elliptically shaped regions; exterior forces; face hypotheses; facial feature searching; hue; image sequence; saturation; shape information; skin-like regions; snake; snaxels; Active contours; Color; Face detection; Face recognition; Facial features; Humans; Image segmentation; Robustness; Shape; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on

Conference_Location

Killington, VT

Print_ISBN

0-8186-7713-9

Type

conf

DOI

10.1109/AFGR.1996.557270

Filename

557270