The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Segmentation and tracking of faces in color images
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Human and machine recognition of faces: a survey
Chellappa, R., Wilson, C. L., & Sirohey, S. A. (1995) · Proceedings of the IEEE · doi:10.1109/5.381842 · Cited by 2,492
Finite-element methods for active contour models and balloons for 2-D and 3-D images
Cohen, L. D., & Cohen, I. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.244675 · Cited by 1,379
A Fast algorithm for active contours and curvature estimation
Williams, D. J., & Shah, M. (1992) · CVGIP: Image Understanding · doi:10.1016/1049-9660(92)90003-l · Cited by 1,101
Tracking deformable objects in the plane using an active contour model
Leymarie, F. F., & Levine, M. D. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.216733 · Cited by 555
Closed-form solutions for physically based shape modeling and recognition
Pentland, A., & Sclaroff, S. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.85660 · Cited by 466
Face localization and facial feature extraction based on shape and color information
Sobottka, K., & Pitas, I. (2002) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.1996.560536 · Cited by 154
Self-citationExtraction of facial regions and features using color and shape information
Sobottka, K., & Pitas, I. (1996) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.1996.546982 · Cited by 131
Self-citationEleftheriadis, A., & Jacquin, A. E. (1995) · Signal Processing Image Communication · doi:10.1016/0923-5965(95)00028-u · Cited by 125
Facial feature localization and adaptation of a generic face model for model-based coding
Reinders, M. J. T., van Beek, P. J. L., Sankur, B., & van der Lubbe, J. C. A. (1995) · Signal Processing Image Communication · doi:10.1016/0923-5965(94)00042-h · Cited by 66
Extraction of Facial Images from the Complex Background Using Color Information and SGLD Matrices
Dai, Y., & Nakano, Y. (1996) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss1987.116.4_442 · Cited by 26
Extraction of facial images from complex background using color information and SGLD matrices
Dai, Y. (1995) · Medical Entomology and Zoology · Cited by 25
Multi-modal person verification tools using speech and images
Acheroy, M. P. J., Beumier, C., Bigün, J., Chollet, G., Duc, B., Fischer, S., Genoud, D., Lockwood, P., Maître, G., Pigeon, S., et al. (1996) · Cited by 20
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- tominaga, 1986, Color image segmentation using three perceptual attributes, IEEE Conference on Computer Vision and Pattern Recognition, 628
- pautz, 1995, Active contours for 3D-segmentation of magnetic resonance images
- 1995, International workshop on Automatic Face and Gesture Recognition
Cited by
Sorted by citations
Detecting faces in images: a survey
Yang, M.-H., Kriegman, D. J., & Ahuja, N. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982883 · Cited by 3,458
Computer Vision Face Tracking For Use in a Perceptual User Interface
Gary, R. B. (1998) · Cited by 1,400
Elliptical head tracking using intensity gradients and color histograms
Birchfield, S. T. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1998.698614 · Cited by 743
Real time face and object tracking as a component of a perceptual user interface
Bradski, G. R. (2002) · Proceedings · doi:10.1109/acv.1998.732882 · Cited by 629
Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527
Metadata
- Authors
- Sobottka, K., & Pitas, I.
- Affiliations
- Aristotle University of Thessaloniki (GR)
- ORCID
- Pitas, I.
- Venue
- Proceedings of the Second International Conference on Automatic Face and Gesture Recognition
- Publisher
- IEEE Comput. Soc. Press
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
