Cited by 157Face recognition and analysisFace and Expression RecognitionVideo Surveillance and Tracking Methods

Segmentation and tracking of faces in color images

Sobottka, K., Pitas, I.·2002·Proceedings of the Second International Conference on Automatic Face and Gesture Recognition

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.

Integrity signals

Registry

Crossref · 10.1109/afgr.1996.557270

Cites

12 of 12 references verified0 citation errors · 0 not checkable

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Authors
Sobottka, K., & Pitas, I.
Affiliations
Aristotle University of Thessaloniki (GR)
Venue
Proceedings of the Second International Conference on Automatic Face and Gesture Recognition
Published
2002-12-23
Pages
236-241
ISSN
1541-5058 (ISSN-L)
OpenAlex
W2122753056
Cited by
157
References
12
Citations by year
2021: 2 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 3 · 2015: 1 · 2014: 2 · 2013: 5 · 2012: 4
FWCI
14.26
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Automatic Face and Gesture Recognition (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
Keywords
face segmentation, face tracking, color images, skin color detection, hue and saturation, facial feature detection, snakes, color features, video sequences

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