A cascade detector for rapid face detection

Ning Jiang, Wenxin Yu, Shaopeng Tang, Satoshi Goto

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

3 Citations (Scopus)

Abstract

In recent years, LBP feature based svm detector and Haar feature based cascade detector are the two types of efficient detectors for face detection. In this paper, we proposed to improve the performance on Haar feature based cascade detector. First, we describe a new feature for cascade detector. The feature is called Separate Haar Feature. Secondly, we describe a new decision algorithm in cascade detection to improve the detection rate. There are three key contributions. The first is "Separate Haar Feature", which adds a don't-care area between the rectangles of Haar Feature. The second is the algorithm for selecting the best width for this don't-care area. Finally, we proposed a new decision algorithm which makes the decision by not only a stage result in cascade detection process to improve the detection rate.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
Pages155-158
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 - Penang
Duration: 2011 Mar 42011 Mar 6

Other

Other2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
CityPenang
Period11/3/411/3/6

Keywords

  • Adaboost
  • cascade detector
  • Face detection
  • Separate Haar Feature

ASJC Scopus subject areas

  • Signal Processing

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  • Cite this

    Jiang, N., Yu, W., Tang, S., & Goto, S. (2011). A cascade detector for rapid face detection. In Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 (pp. 155-158). [5759863] https://doi.org/10.1109/CSPA.2011.5759863