Human face detection in video using edge projections

Mehmet Türkan; Berkan Dülek; Ibrahim Onaran; A. Enis Çetin

doi:10.1117/12.666704

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12 May 2006 Human face detection in video using edge projections

Mehmet Türkan, Berkan Dülek, Ibrahim Onaran, A. Enis Çetin

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Proceedings Volume 6246, Visual Information Processing XV; 624607 (2006) https://doi.org/10.1117/12.666704
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

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Mehmet Türkan, Berkan Dülek, Ibrahim Onaran, and A. Enis Çetin "Human face detection in video using edge projections", Proc. SPIE 6246, Visual Information Processing XV, 624607 (12 May 2006); https://doi.org/10.1117/12.666704

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