An efficient face detection based on color-filtering and its application to smart devices

This paper proposes a means of using facial color to enhance conventional face detectors. To detect face rapidly, the proposed approach adopts a color filtering based efficient region scanning method. The scanning method skips over regions that do not contain candidate faces, based on a facial color...

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Bibliographic Details
Published in:Multimedia tools and applications 2016-05, Vol.75 (9), p.4867-4886
Main Authors: Chae, Yeong Nam, Han, Taewoo, Seo, Yong-Ho, Yang, Hyun S.
Format: Article
Language:English
Subjects:
Analysis
Classifiers
Color
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Detectors
Devices
Face
Face recognition
Facial
False alarms
Filtering
Image processing systems
Localization
Multimedia Information Systems
Pattern recognition
Probability distribution
Scanning
Sensors
Smart devices
Special Purpose and Application-Based Systems
Studies
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Summary:This paper proposes a means of using facial color to enhance conventional face detectors. To detect face rapidly, the proposed approach adopts a color filtering based efficient region scanning method. The scanning method skips over regions that do not contain candidate faces, based on a facial color membership function. Then it adopts a face/non-face classifier using facial color at the preprocessor of the face detector. This classifier has low computational cost and can reject non-face regions at an early stage of face detection. By integrating the proposed face detector with a kernel based object tracker, a real-time face detection and tracking application is implemented for smart devices. The proposed method considerably reduces the overall computation time and reduces the number of false alarms.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-013-1786-0