Face detection architecture design using hybrid skin color detection and cascade of classifiers

Der Wei Yang, Chun Wei Chen, Che Hao Chang, Yun Chen Chang, Ming-Der Shieh, Jonas Wang, Chia Cheng Lo

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

4 Citations (Scopus)

Abstract

This paper presents an efficient face detection algorithm which results in low cost and high performance hardware implementation. Using the proposed scheme of hybrid skin color detection and cascade of classifiers, we successfully overcome (i) the poor false positive rate issue in the skin color based face detection and (ii) the huge computation complexity in the cascade of classifiers. A light variation tolerable skin color detection method and a scan-line based dynamic down-sampling architecture are also proposed to enhance the performance. Experimental results reveal that the proposed design has high detection accuracy with low hardware cost as compared with related work.

Original languageEnglish
Title of host publication2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
Pages543-546
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012 - Kaohsiung, Taiwan
Duration: 2012 Dec 22012 Dec 5

Other

Other2012 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2012
CountryTaiwan
CityKaohsiung
Period12-12-0212-12-05

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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