Real-time face detection using hybrid GA based on selective attention

Hidekazu Suzuki, Mamoru Minami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

There have been many attempts to realize human-like visual function by image processing. Methods for recognition and tracking of the human face are expected to be applied in security systems and in the field of ITS (Intelligent Transport Systems). This study was performed to construct a detection system capable of recognizing multiple areas of the human face in real time. We employed a hybrid GA (Genetic Algorithm) based on selective attention, which is the human visual function used to reduce processing load, to search for the position of a face in input images. The hybrid GA consisted of random searching as a rough search and an improved GA that performed a more careful search. These methods were combined by grouping to allow simultaneous detection of multiple faces in input images in real time. We confirmed the effectiveness of our proposed detection system by experiments involving detection of multiple targets.

Original languageEnglish
Title of host publication2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages1329-1334
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Sendai, Japan
Duration: Sep 28 2004Oct 2 2004

Publication series

Name2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Volume2

Other

Other2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
CountryJapan
CitySendai
Period9/28/0410/2/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Suzuki, H., & Minami, M. (2004). Real-time face detection using hybrid GA based on selective attention. In 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1329-1334). (2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); Vol. 2).