Coarse-to-fine classification for image-based face detection

Hanjin Ryu, Ja Cheon Yoon, Seung Soo Chun, Sanghoon Sull

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

    7 Citations (Scopus)

    Abstract

    Traditional image-based face detection methods use a window based scanning technique where the window is scanned pixel-by-pixel to search for faces in various positions and scales within an image. Therefore, they require high computation cost and are not adequate to the real time applications. In this paper, we introduce a novel coarse-to-fine classification method for image-based face detection using multiple face classifiers. A coarse location of a face is first classified by the gradient feature based face classifier where the window is scanned in large moving steps. From the coarse location of a face, the fine classification is performed to identify the local image' as a face using the multiple face classifiers where the window is finely scanned. The multiple face classifiers are designed to take gradient, texture and pixel intensity features and trained by back propagation learning algorithm. Experimental results demonstrate that our proposed method can reduce up to 90.4% of the number of scans compared to the exhaustive full scanning technique and provides the high detection rate.

    Original languageEnglish
    Title of host publicationImage and Video Retrieval - 5th International Conference, CIVR 2006, Proceedings
    PublisherSpringer Verlag
    Pages291-299
    Number of pages9
    ISBN (Print)3540360182, 9783540360186
    DOIs
    Publication statusPublished - 2006
    Event5th International Conference on Image and Video Retrieval, CIVR 2006 - Tempe, AZ, United States
    Duration: 2006 Jul 132006 Jul 15

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4071 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other5th International Conference on Image and Video Retrieval, CIVR 2006
    Country/TerritoryUnited States
    CityTempe, AZ
    Period06/7/1306/7/15

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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