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Proceedings Paper

Human face detection in video using edge projections
Author(s): Mehmet Türkan; Berkan Dülek; Ibrahim Onaran; A. Enis Çetin
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Paper Abstract

In this paper, a human face detection method in images and video is presented. After determining possible face candidate regions using color information, each region is filtered by a high-pass filter of a wavelet transform. In this way, edges of the region are highlighted, and a caricature-like representation of candidate regions is obtained. Horizontal, vertical and filter-like projections of the region are used as feature signals in dynamic programming (DP) and support vector machine (SVM) based classifiers. It turns out that the support vector machine based classifier provides better detection rates compared to dynamic programming in our simulation studies.

Paper Details

Date Published: 12 May 2006
PDF: 10 pages
Proc. SPIE 6246, Visual Information Processing XV, 624607 (12 May 2006); doi: 10.1117/12.666704
Show Author Affiliations
Mehmet Türkan, Bilkent Univ. (Turkey)
Berkan Dülek, Bilkent Univ. (Turkey)
Ibrahim Onaran, Bilkent Univ. (Turkey)
A. Enis Çetin, Bilkent Univ. (Turkey)


Published in SPIE Proceedings Vol. 6246:
Visual Information Processing XV
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)

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