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

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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
Publisher
SPRINGER
Issue Date
2016-05
Language
English
Article Type
Article
Keywords

RAPID OBJECT DETECTION

Citation

MULTIMEDIA TOOLS AND APPLICATIONS, v.75, no.9, pp.4867 - 4886

ISSN
1380-7501
DOI
10.1007/s11042-013-1786-0
URI
http://hdl.handle.net/10203/209836
Appears in Collection
CS-Journal Papers(저널논문)
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