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Real Time Object Oriented 6-Point Skeleton Extraction Component from Human Silhouette for Video Surveillance and Analysis Application

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Advances in Visual Informatics (IVIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9429))

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Abstract

This paper describes the design and implementation of a fast 6-Point skeleton extraction algorithm from human silhouette images which can be used for real-time video surveillance and analysis applications. The 6 Points of Interest (POIs) are sacroiliac support point (P c ), head (P h ), right and left shoulders (P sr and P sl ) and right and left foot (P fr and P fl ). The algorithm was implemented as an object class library and can be used in Microsoft.NET development environment across multiple.NET compatible programming language such as C#, VB.Net and IronRuby. The developed class library successfully tracked the POIs across live video frames in real-time. The applicability of the developed class library for video surveillance and analysis application was proven via its application in the development of the Intelligent Video Surveillance System (InViSSTM). A simple, general purpose case study, which shows the use of the developed.NET components for simple gait analysis application is also discussed in the end of this paper to prove that it is general enough to be used for video surveillance and analysis related applications.

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Acknowledgement

The authors would like to express their gratitude to the Government of Malaysia and Universiti Kebangsaan Malaysia for financing this research via the GUP-2013-035 Research Grant.

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Authors and Affiliations

  1. Smart Engineering System Research Group, Faculty of Engineering and Built Environment, Univeristi Kebangsaan Malaysia, 43600, Bandar Baru Bangi, Selangor, Malaysia

    Mohamad Hanif Md Saad, Muhammad Faiz Mohd Shukri, Win Kong, Wan Noor Aziezan Baharuddin & Aini Hussain

Authors
  1. Mohamad Hanif Md Saad
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  2. Muhammad Faiz Mohd Shukri
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  3. Win Kong
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  4. Wan Noor Aziezan Baharuddin
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  5. Aini Hussain
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Corresponding author

Correspondence to Mohamad Hanif Md Saad .

Editor information

Editors and Affiliations

  1. Fac Info Science and Techn, Universiti Kebangsaan Malaysia, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, United Kingdom

    Peter Robinson

  3. Center for Digital Video Process, Dublin 9, Ireland

    Alan F. Smeaton

  4. Computer Science and Information Enginee, National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  5. Kingston University, Kingston upon Thames, United Kingdom

    Sergio Velastin

  6. Universiti Kebangsaan Malaysia, Institute of Visual Informatics, Bangi, Malaysia

    Azizah Jaafar

  7. Universiti Kebangsaan Malaysia, Institute of Visual Informatics, Bangi, Malaysia

    Nazlena Mohamad Ali

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© 2015 Springer International Publishing Switzerland

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Saad, M.H.M., Shukri, M.F.M., Kong, W., Baharuddin, W.N.A., Hussain, A. (2015). Real Time Object Oriented 6-Point Skeleton Extraction Component from Human Silhouette for Video Surveillance and Analysis Application. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2015. Lecture Notes in Computer Science(), vol 9429. Springer, Cham. https://doi.org/10.1007/978-3-319-25939-0_33

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  • DOI: https://doi.org/10.1007/978-3-319-25939-0_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25938-3

  • Online ISBN: 978-3-319-25939-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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