Human face detection in video using edge projections

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationVisual Information Processing XV
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventVisual Information Processing XV - Kissimmee, FL, United States
Duration: 18 Apr 200619 Apr 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6246
ISSN (Print)0277-786X

Conference

ConferenceVisual Information Processing XV
Country/TerritoryUnited States
CityKissimmee, FL
Period18/04/0619/04/06

Keywords

  • Dynamic programming
  • Edge projections
  • Human face detection
  • Support vector machines

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