DocumentCode
2285183
Title
Extraction and tracking of the eyelids
Author
Pardas, Montse
Author_Institution
Lucent Technol. Bell Labs., Murray Hill, NJ, USA
Volume
6
fYear
2000
fDate
2000
Firstpage
2357
Abstract
Facial analysis is used in a number of applications like face recognition systems, human-computer interaction through head movements or facial expressions, or model based coding. In all these applications a very precise extraction of the feature points corresponding to the eyes is necessary. In this paper we present a method for automatic extraction and tracking of the eyelids. First the images are filtered in order to enhance the interesting features. Then a dynamic programming algorithm is applied to extract the precise shape of the eyelids. Although restrictions are applied on the possible shapes, they are not modeled as ellipse arcs. This allows extracting the corner of the eyes with higher precision. Once the eyelids are extracted for the first image, a new robust tracking algorithm based on snakes is applied to track them along the sequence, which allows large motion of the eyes and rotation and zooming of the head
Keywords
dynamic programming; edge detection; face recognition; feature extraction; image coding; motion estimation; tracking; active contour algorithm; automatic eyelids extraction; automatic eyelids tracking; dynamic programming algorithm; eye detection; eyelids shape; face recognition systems; facial analysis; facial expressions; feature extraction; head movements; head rotation; head zooming; human-computer interaction; image filtering; minimal path algorithm; model based coding; morphological filtering; motion estimation; robust tracking algorithm; snakes; Dynamic programming; Eyelids; Eyes; Face recognition; Feature extraction; Head; Heuristic algorithms; Robustness; Shape; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.859314
Filename
859314
Link To Document