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On the Face Detection with Adaptive Template Matching and Cascaded Object Detection for Ubiquitous Computing Environment

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Book cover Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3480))

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Abstract

This paper presents the template matching and efficient cascaded object detection. The proposed template matching method is superior to previous face detection. Furthermore, the proposed cascade method has some merits to the face changes. Thus, we can detect the object effectively and this can inevitably lead to the Ubiquitous Computing Environment. We also expand the more detection algorithms through this method.

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Author information

Authors and Affiliations

  1. Department of Information and Control Engineering, Kwangwoon University, 447-1, Wolgye-dong, Nowon-gu, Seoul, 139-701, Korea

    Chun Young Chang

  2. Division of Information and Communication Eng., Seoul Women’s University, 126, Kongnung2-dong, Nowon-gu, Seoul, 139-774, Korea

    Jun Hwang

Authors
  1. Chun Young Chang
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  2. Jun Hwang
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W, T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Chang, C.Y., Hwang, J. (2005). On the Face Detection with Adaptive Template Matching and Cascaded Object Detection for Ubiquitous Computing Environment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_127

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  • DOI: https://doi.org/10.1007/11424758_127

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25860-5

  • Online ISBN: 978-3-540-32043-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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