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Observation of Unattended or Removed Object in Public Area for Security Monitoring System

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Genetic and Evolutionary Computing (ICGEC 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 536))

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Abstract

Observation of stationary or unattended objects such as bags, luggage has covered as precaution from some terrorist attacks carrying some explosive things left behind in public areas. One of the important securities monitoring systems is video surveillance system for crowded environmental areas and daily caring and monitoring system. In the proposed system, the unattended object observation is developed for monitoring system. The system input applies the recorded data video files, in order to remove outdoor lighting detection noises controlling and modifying image intensity value before Otsu’s method in preprocessing and then convert frame sequences for preprocessing. The system preprocesses to search and detect indoor, outdoor, day lighting in fewer errors by controlling the brightness intensity value of images. The color image processing and morphological operation are performed to observe the object. And then, the system can calculate object statistics using the blob analysis.

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Authors and Affiliations

  1. University of Computer Studies, Yangon, Myanmar

    Baby Htun & Myint Myint Sein

Authors
  1. Baby Htun
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  2. Myint Myint Sein
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Correspondence to Baby Htun .

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Editors and Affiliations

  1. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Chia-Hung Wang

  4. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Xin Hua Jiang

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Htun, B., Sein, M.M. (2017). Observation of Unattended or Removed Object in Public Area for Security Monitoring System. In: Pan, JS., Lin, JW., Wang, CH., Jiang, X. (eds) Genetic and Evolutionary Computing. ICGEC 2016. Advances in Intelligent Systems and Computing, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-48490-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-48490-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48489-1

  • Online ISBN: 978-3-319-48490-7

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