|
Published Articles >> Table of Contents >> Abstract
32nd Applied Imagery Pattern Recognition Workshop (AIPR'03)
p. 146
Real Time Face Detection from Color Video Stream Based on PCA Method
Rajkiran Gottumukkal, Old Dominion University, Norfolk, VA
Vijayan K. Asari, Old Dominion University, Norfolk, VA
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.1284263
Send link to a friend
| Abstract |
|
We present a face detection system capable of detection
of faces in real time from a streaming color video.
Currently this system is able to detect faces as long as
both the eyes are visible in the image plane. Extracting
skin color regions from a color image is the first step in
this system. Skin color detection is used to segment
regions of the image that correspond to face regions based
on pixel color. Under normal illumination conditions, skin
color takes small regions of the color space. By using this
information, we can classify each pixel of the image as
skin region or non-skin region. By scanning the skin
regions, regions that do not have shape of a face are
removed. Principle Component Analysis (PCA) is used to
classify if a particular skin region is a face or a non-face.
The PCA algorithm is trained for frontal view faces only.
The system is tested with images captured by a
surveillance camera in real time.
|
 Additional Information
|
Citation:
Rajkiran Gottumukkal, Vijayan K. Asari,
"Real Time Face Detection from Color Video Stream Based on PCA Method,"
aipr,
p. 146,
32nd Applied Imagery Pattern Recognition Workshop (AIPR'03),
2003
|
|
