Human face detection in video using edge projections

Date

2006

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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.

Source Title

Proceedings of SPIE Vol. 6246, Visual Information Processing XV

Publisher

SPIE

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Published Version (Please cite this version)

Language

English