Skip to main content
SpringerLink
Log in

Overview of the Development and Applications of a Vision Based Scene Change Detector

  • Chapter
  • First Online:
Sensing Technology: Current Status and Future Trends I

Part of the book series: Smart Sensors, Measurement and Instrumentation ((SSMI,volume 7))

  • 1526 Accesses

Abstract

This book chapter discusses the development and applications of a vision based observation methodology called morphological scene change detection (MSCD). This technique uses the differences between successive frames of video or a reference image to a current image so that changes in the scene can be detected. This process is much quicker and requires fewer calculations when undertaken in the binary domain and then processed using mathematical morphology to clean away any noise. Shown here is the development of a system that is implemented via the use of graphical blocks in Simulink for ease of design for deployment on field programmable gate arrays (FPGA). This results in an easy to use system that can be used to detect intruders, faults with piping systems, and if need be, watermark the image digitally to protect against tampering. The FPGA also makes the system easily deployable in many environments either as a static platform or for insertion into an autonomous mobile robot. The uses of this methodology are not simply limited to the applications discussed here but can be applied to a much wider range of problems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. A.J. Tickle, J.S. Smith, Q.H. Wu, Feasibility of a portable morphological scene change detection security system for field programmable gate arrays, vol 69780, in Proceeding.of SPIE 6978: Visual Information Processing XVII, Orlando, Florida, USA, March 2008, 10p

    Google Scholar 

  2. A J Tickle, P K Harvey and J S Smith “Applications of a Morphological Scene Change Detector (MSCD) for Visual Leak and Failure Identification in Process and Chemical Engineering” Proc. SPIE 7833: Unmanned/Unattended Sensors and Sensor Networks, Toulouse, France, September 2010 (8 pp)

    Google Scholar 

  3. A.J. Tickle, D. Kamfwa, Integration of a digital watermarking system into a Morphological Scene Change Detector (MSCD) for tamper prevention and detection, in Proceeding SPIE 8540: Unmanned/Unattended Sensors and Sensor Networks, Edinburgh, Scotland, Sept 2012, 8p

    Google Scholar 

  4. E. Stringa, Morphological Scene Change Detection Notes (Institute for Systems, Informatics, and Safety, 2005), pp. 1–12

    Google Scholar 

  5. C.S. Regazzoni, G. Fabri, G. Vernazza, Advanced Video-based Surveillance Systems (Kluwer Academic Publisher, Norwell, 1999), pp 1–100

    Google Scholar 

  6. E. Stringa, C.S Regazzoni, Real time video-shot detection for scene surveillance applications. IEEE Trans. Image Proces. 9, 69–79 (2000)

    Google Scholar 

  7. J.D. Courtney, Automatic video indexing via object motion analysis. Pattern Recognit. 30, 607–625 (1997)

    Google Scholar 

  8. M. Bogaert, N. Chleq, P. Cornez, C.S. Regazzoni, A. Teschioni, M Thonnat, The PASSWORD Project, in Proceeding of the IEEE International Conference on Image Processing, (1996), pp. 675–678

    Google Scholar 

  9. A.J. Tickle, J.S. Smith, Q.H. Wu, Development of morphological operators for field programmable gate arrays. J Conf Series 76, 012028 (2007)

    Article  Google Scholar 

  10. A.J. Tickle, J.S. Smith, Q.H. Wu, Feasibility of a multifunctional morphological system for use on field programmable gate arrays. J Conf Ser 76, 012055 (2007)

    Article  Google Scholar 

  11. A.K. Jain, Fundamentals of Digital Image Processing (Prentice-Hall, Englewood Cliffs, 1989)

    Google Scholar 

  12. K. Skifstadt, R Jain, Illumination independent change detection for real world sequences. Comput. Vis. Graph. Image Proces. 46, 395–418 (1989)

    Google Scholar 

  13. A.J. Tickle, J. Sun, L. Gan, J.S. Smith, Feasibility of an encryption and decryption system for messages and images using a Field Programmable Gate Array (FPGA) as a portable steganography platform. Proc SPIE 7100, 71002N (2008)

    Article  Google Scholar 

  14. C.T. Hsu, J.L. Wu, Hidden digital watermarks in images. IEEE Trans Image Proces. 8(1), 58–68 (1999)

    Google Scholar 

  15. D. Kundur, D. Hatzinakos, Digital watermarking for telltale tamper proofing and authentication. Proc. IEEE 87(7), 1167–1180 (1999)

    Google Scholar 

  16. C.T. Li, Digital Watermarking for Multimedia Security Management (University of Warwick, Coventry, 2005), pp. 3–11

    Google Scholar 

  17. S.P. Mohanty, N. Ranganathan, R.K. Namballa, VLSI Implementation of Visible Watermarking for Secure Digital Still Camera Design. Proceedings of 17th IEEE International Conference on VLSI Design, 2004

    Google Scholar 

  18. A. Khan, A.M. Mirza, Genetic perceptual shaping utilising cover image and conceivable attack information during watermark embedding. Inf. Fus. 8(4), 354–365 (2007)

    Google Scholar 

  19. T. Wada, F. Huang, Advances in Image and Video Technology. pp 340–341, 2009

    Google Scholar 

  20. A.J. Tickle, Y. Meng, J.S. Smith, Simulation of a dead reckoning embedded system security patrol robot for deployment inside structures and buildings. Proc. SPIE 7833, 2010

    Google Scholar 

  21. A.J. Tickle, A.R. Camargo, J.S. Smith, Visual analysis of ductility/brittleness of welding fracture points on charpy test specimens using graphical blocks on field programmable gate arrays. Proc. SPIE 7100, 71002M (2008)

    Article  Google Scholar 

  22. J. Serra, Image Analysis and Mathematical Morphology: Theoretical Advances vol 2 (Academic Press, London, 1988)

    Google Scholar 

  23. B. Chanda, Application of Binary Mathematical Morphology to Separate Overlapped Objects. Pattern Recogn. Lett. 13(9), 639–645 (1999)

    Google Scholar 

  24. F. Wu, Synthesised Processors Running on FPGA Architectures, University of Liverpool, EEE Ph.D. Thesis, 2008

    Google Scholar 

  25. Altera Corporation, Edge detection using SOPC Builder and DSP Builder tool flow. www.altera.com, pp. 1–43, 2005

  26. Altera Corporation, “Using SOPC Builder and DSP Builder Tool Flow” www.altera.com, pp. 1–45, 2005

Download references

Acknowledgments

Andrew Tickle would also like to thank members of his family, Laura and Frank Tickle, and his friends and co-workers, James R. Buckle, Paul K. Harvey and Si “Ella” Li for their cooperation in the participation of the security field tests and to the EPSRC (Engineering and Physical Science Research Council) for funding the research work at the time. They would also like to thank Professors Jeremy Smith and Jim Lucas for their support, guidance and advice during the course of conducting this research and to Dr Alex Mason for the chance to contribute to this book.

Author information

Authors and Affiliations

  1. Faculty of Engineering and Computing, Deptartment of Aviation, Aerospace, Electrical and Electronic Engineering, Coventry University, Priory Street, Coventry, CV1 5FB, UK

    A. J. Tickle

Authors
  1. A. J. Tickle
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. J. Tickle .

Editor information

Editors and Affiliations

  1. Built Environment and Sustainable Technologies Research Institute, School of Built Environment, Liverpool John Moores University, Liverpool, United Kingdom

    Alex Mason

  2. School of Engineering and Advanced Technology (SEAT), Massey University (Manawatu Campus), Palmerston North, New Zealand

    Subhas Chandra Mukhopadhyay

  3. Institute of Fundamental Sciences, Massey University (Manawatu Campus), Palmerston North, New Zealand

    Krishanthi Padmarani Jayasundera

  4. Centre for Development in Advanced Computing, Kolkata, India

    Nabarun Bhattacharyya

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Tickle, A.J. (2014). Overview of the Development and Applications of a Vision Based Scene Change Detector. In: Mason, A., Mukhopadhyay, S., Jayasundera, K., Bhattacharyya, N. (eds) Sensing Technology: Current Status and Future Trends I. Smart Sensors, Measurement and Instrumentation, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-02318-2_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02318-2_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02317-5

  • Online ISBN: 978-3-319-02318-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation