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902 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS, VOL. 36, NO. 4, AUGUST 2006 Real-Time Face Detection and Lip Feature Extraction
 

Summary: 902 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS, VOL. 36, NO. 4, AUGUST 2006
Real-Time Face Detection and Lip Feature Extraction
Using Field-Programmable Gate Arrays
Duy Nguyen, David Halupka, Student Member, IEEE,
Parham Aarabi, Member, IEEE, and Ali Sheikholeslami, Senior Member, IEEE
Abstract--This paper proposes a new technique for face detec-
tion and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model's size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6% correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system.
Index Terms--Edge information, face detection, field-

  

Source: Aarabi, Parham - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Computer Technologies and Information Sciences