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International Conference on Ubiquitous Computing Application and Wireless Sensor Network

International Conference on Ubiquitous Information Technologies and Applications

International Conference on Computer Science and its Applications

UCAWSN 2016, CUTE 2016, CSA 2016: Advances in Computer Science and Ubiquitous Computing pp 607–612Cite as

Prediction Method for Suspicious Behavior Based on Omni-View Model

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Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 421)

Abstract

Recently, CCTV is being applied to prevent crimes. It senses the level of danger as being searching criminal records, a wanted one’s montage and so on through mainly Facial recognition. However, it needs additional judging to provide against emergencies, because it cannot predict every criminal situation. In the cause of it, a computer is being fed three-dimensional coordinates from CCTV into a device, and catches not only motion of body or arms but also pattern of hand that were grasped by ConvexHull. And then it predicts suspicious behaviors via judging the movements of an object. Furthermore, to add information about surroundings and location, preventing crimes with more exact judging is the aim on this research.

Keywords

  • CCTV
  • Predicting crime
  • Omni-view
  • Behavior pattern

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  • DOI: 10.1007/978-981-10-3023-9_93
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References

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Acknowledgement

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning, Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-R2718-16-0004) supervised by the IITP (National IT Industry Promotion Agency).

Author information

Authors and Affiliations

  1. Computer Science, Sookmyung Women’s University, Seoul, Korea

    Ji-Hyen Choi, Jong-Won Choe & Yong-Ik Yoon

  2. Department of IT Engineering, Sookmyung Women’s University, Seoul, Korea

    Yong-Ik Yoon

Authors
  1. Ji-Hyen Choi
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  2. Jong-Won Choe
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  3. Yong-Ik Yoon
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Corresponding author

Correspondence to Yong-Ik Yoon .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA

    Yi Pan

  3. Computer Science and Engineering, Gangneung-Wonju National University, Wonju, Korea (Republic of)

    Gangman Yi

  4. University Salerno, Fisciano, Italy

    Vincenzo Loia

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© 2017 Springer Nature Singapore Pte Ltd.

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Choi, JH., Choe, JW., Yoon, YI. (2017). Prediction Method for Suspicious Behavior Based on Omni-View Model. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_93

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  • DOI: https://doi.org/10.1007/978-981-10-3023-9_93

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3022-2

  • Online ISBN: 978-981-10-3023-9

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