Paper Info
Title
Automatic human face location in a complex background using motion and color information
Abstract
Automatic human face location in a complex background is one of the difficult problems in developing a fully automatic face recognition system and is still a relatively unexplored problem. In this paper, we propose an effective automatic face location system that can locate the face region in a complex background when the system is used as a pre-processor of a practical face recognition system for security. We use two natural visual cues, the motion and the color, to locate face regions in a real scene. In the first stage of the proposed system, we extract a velocity vector field of the face, and by thresholding this velocity field to detect the region showing a clear motion, the face region is separated from the background. In the next stage, the method based on the thresholding in hue space and knowledge-based location process is used to find the eye, eyebrow, and mouth regions of the face. According to our experiment, the proposed system shows fast and robust location results.
Year
DOI
Venue
1996
10.1016/0031-3203(96)00036-2
Pattern Recognition
Keywords
Field
DocType
Face location,Motion detection,Color image segmentation,Knowledge-based location,Face recognition
Facial recognition system,Computer vision,Motion detection,Three-dimensional face recognition,Pattern recognition,Hue,Image segmentation,Artificial intelligence,Thresholding,Face detection,Mathematics,Color image
Journal
Volume
Issue
ISSN
29
11
0031-3203
Citations 
PageRank 
References 
47
5.94
16
Authors
3
Name
Order
Citations
PageRank
Choong Hwan Lee1496.37
Jun Sung Kim2506.68
Kyu Ho Park372979.92