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Proceedings Paper

Face detection at a distance with AdaBoost filtering and color-shape information
Author(s): Seokwon Yeom; Dong-Su Lee
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Paper Abstract

Face detection at a distance is very challenging because the image quality becomes low. This paper discusses a face detection method in the long distance with AdaBoost filtering and a false alarm reduction scheme. The false alarm reduction scheme is based on skin-color testing and variable edge mask filtering. The skin-color test involves the average RGB components of the window, followed by the binary cluster image generation. The binary cluster is composed of the alternative and null pixels according to color. The size of the edge mask is determined by the ellipse covering the binary cluster. The edge mask filters out false alarms by evaluating the contour shape of the object in the window. In the experiments, the false alarm reduction scheme is shown to be effective for face detection in images captured at a distance.

Paper Details

Date Published: 28 May 2013
PDF: 6 pages
Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 87550I (28 May 2013); doi: 10.1117/12.2015350
Show Author Affiliations
Seokwon Yeom, Daegu Univ. (Korea, Republic of)
Dong-Su Lee, Daegu Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8755:
Mobile Multimedia/Image Processing, Security, and Applications 2013
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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