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Multimedia Analysis, Processing and Communications pp 265–288Cite as

Object Detection and Tracking for Intelligent Video Surveillance

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 346))

Abstract

As CCTV/IP cameras and network infrastructure become cheaper and more affordable, today’s video surveillance solutions are more effective than ever before, providing new surveillance technology that’s applicable to a wide range end-users in retail sectors, schools, homes, office campuses, industrial /transportation systems, and government sectors. Vision-based object detection and tracking, especially for video surveillance applications, is studied from algorithms to performance evaluation. This chapter is composed of three topics: (1) background modeling and detection, (2) performance evaluation of sensitive target detection, and (3) multi-camera segmentation and tracking of people.

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Author information

Authors and Affiliations

  1. HRL Laboratories, LLC., Malibu, CA, USA

    Kyungnam Kim

  2. Computer Science Dept., University of Maryland, College Park, MD, USA

    Larry S. Davis

Authors
  1. Kyungnam Kim
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  2. Larry S. Davis
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Editor information

Editors and Affiliations

  1. School of Computer Engineering , Nanyang Technological University, 639798, Singapore

    Weisi Lin  & Dacheng Tao  & 

  2. Intelligent Systems Laboratory Systems Research Institute , Polish Academy of Sciences, Poland

    Janusz Kacprzyk

  3. Department of Computing , Hong Kong Polytechnic University, Hung Hom, Hong Kong

    Zhu Li

  4. School of Electronic Engineering and Computer Science, Queen Mary, University of London, London, U.K.

    Ebroul Izquierdo

  5. TCL-Thomson Electronics , Santa Clara, California

    Haohong Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Kim, K., Davis, L.S. (2011). Object Detection and Tracking for Intelligent Video Surveillance. In: Lin, W., Tao, D., Kacprzyk, J., Li, Z., Izquierdo, E., Wang, H. (eds) Multimedia Analysis, Processing and Communications. Studies in Computational Intelligence, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19551-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-19551-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19550-1

  • Online ISBN: 978-3-642-19551-8

  • eBook Packages: EngineeringEngineering (R0)

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