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Face Detection in Resource Constrained Wireless Systems

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Mobile Multimedia Processing (WMMP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5960))

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Abstract

Face detection is one of the most popular areas of computer vision partly due to its many applications such as surveillance, human-computer interaction and biometrics. Recent developments in distributed wireless systems offer new embedded platforms for vision that are characterized by limitations in processing power, memory, bandwidth and available power. Migrating traditional face detection algorithms to this new environment requires taking into consideration these additional constraints. In this chapter, we investigate how image compression, a key processing step in many resource-constrained environments, affects the classification performance of face detection systems. Towards that end, we explore the effects of three well known image compression techniques, namely JPEG, JPEG2000 and SPIHT on face detection based on support vector machines and Adaboost cascade classifiers (Viola-Jones). We also examine the effects of H.264/MPEG-4 AVC video compression on Viola-Jones face detection.

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Author information

Authors and Affiliations

  1. Center for Imaging Science, USA

    Grigorios Tsagkatakis

  2. Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York, 14623

    Andreas Savakis

Authors
  1. Grigorios Tsagkatakis
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  2. Andreas Savakis
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, 48149, Münster, Germany

    Xiaoyi Jiang

  2. Scientific Works, 6 Tiffany Court, 08550, Princeton Junction, NJ, USA

    Matthew Y. Ma

  3. Department of Computer Science and Engineering, State University of New York at Buffalo, 201 Bell Hall, 14260-2000, Buffalo, NY, USA

    Chang Wen Chen

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Tsagkatakis, G., Savakis, A. (2010). Face Detection in Resource Constrained Wireless Systems. In: Jiang, X., Ma, M.Y., Chen, C.W. (eds) Mobile Multimedia Processing. WMMP 2008. Lecture Notes in Computer Science, vol 5960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12349-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-12349-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12348-1

  • Online ISBN: 978-3-642-12349-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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