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Computer Science and its Applications pp 933–939Cite as

Tracking Model for Abnormal Behavior from Multiple Network CCTV Using the Kalman Filter

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Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 330)

Abstract

The Closed Circuit Television (CCTV) systems have been used at large scale for tracking and getting popularity with every passing day. The most common goal of CCTV system is prevention of crime and disorder by tracking the objects. In the future, the efficiently usage of CCTV is the protection of crime based the tracking system for predication about abnormal situations. In this paper, we propose a tracking model for prevention of crime by using Kalman Filter. The tracking model uses some extracted characteristic of objects and relationships among objects from CCTVs on the street. So, this paper studies the tracking model that consists of three steps as follows; object assessment, situation assessment, and risk assessment.

Keywords

  • CCTV systems
  • Smart Devices
  • Tracking Model
  • Kalman Filter
  • Situation Assessment
  • Decision Making

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  • DOI: 10.1007/978-3-662-45402-2_132
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Author information

Authors and Affiliations

  1. Dept. Of Multimedia Science, SookMyung Women’s University, Seoul, Korea

    Yong-Ik Yoon & Jee-Ae Chun

Authors
  1. Yong-Ik Yoon
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  2. Jee-Ae Chun
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Corresponding author

Correspondence to Yong-Ik Yoon .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. School of IT and Engineering, University of Ottawa, Ottawa, Ontario, Canada

    Ivan Stojmenovic

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa Young Jeong

  4. Computer Science & Engineering, Gangneung-Wonju Natioanl University, Wonju, Korea, Republic of (South Korea)

    Gangman Yi

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Yoon, YI., Chun, JA. (2015). Tracking Model for Abnormal Behavior from Multiple Network CCTV Using the Kalman Filter. In: Park, J., Stojmenovic, I., Jeong, H., Yi, G. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45402-2_132

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  • DOI: https://doi.org/10.1007/978-3-662-45402-2_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45401-5

  • Online ISBN: 978-3-662-45402-2

  • eBook Packages: EngineeringEngineering (R0)