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Handbook of Signal Processing Systems pp 267–280Cite as

Distributed Smart Cameras and Distributed Computer Vision

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Abstract

Distributed smart cameras are multiple-camera systems that performcomputer vision tasks using distributed algorithms. Distributed algorithms scale better to large networks of cameras than do centralized algorithms.However, newapproaches are required to many computer vision tasks in order to create efficient distributed algorithms. This chapter motivates the need for distributed computer vision, surveys background material in traditional computer vision, and describes several distributed computer vision algorithms for calibration, tracking, and gesture recognition.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA

    Marilyn Wolf

  2. Department of Electrical Engineering, Princeton University, Princeton, USA

    Jason Schlessman

Authors
  1. Marilyn Wolf
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  2. Jason Schlessman
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Corresponding author

Correspondence to Marilyn Wolf .

Editor information

Editors and Affiliations

  1. , Dept. of Electrical and, University of Maryland, A. V. Williams Bldg. 2311, College Park, 20742, Maryland, USA

    Shuvra S. Bhattacharyya

  2. Leiden Inst. Advanced Computer Science, Leiden Embedded Research Center, Leiden University, Niels Bohrweg 1, Leiden, 2333 CA, Netherlands

    Ed F. Deprettere

  3. RWTH Aachen University, Templergraben 55, Aachen, 52056, Germany

    Rainer Leupers

  4. , Department of Computer Systems, Tampere University of Technology, Korkeakoulunkatu 1, Tampere, 33720, Finland

    Jarmo Takala

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Wolf, M., Schlessman, J. (2010). Distributed Smart Cameras and Distributed Computer Vision. In: Bhattacharyya, S., Deprettere, E., Leupers, R., Takala, J. (eds) Handbook of Signal Processing Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6345-1_11

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  • DOI: https://doi.org/10.1007/978-1-4419-6345-1_11

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-6344-4

  • Online ISBN: 978-1-4419-6345-1

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