Skip to main content

Thermal Signature Using Non-redundant Temporal Local Binary-Based Features

  • Conference paper
  • First Online:
Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8815))

Included in the following conference series:

  • 2287 Accesses

Abstract

In this paper, we propose a method for event recognition from thermal signature based 1-D signal. We use the non-redundant temporal Local Binary Pattern NRTLBP as a descriptor of the Pattern Of Interest (POI) signal. The original signal is extracted directly from local patch in region of interest. We introduce the wavelet decomposition as a pre-processing stage in order to extract the approximation wave-components of the raw signal. Then, NRTLBP is applied on the wave-components which provide wavelet domain descriptor of the raw thermal signature. Finally, we provide an evaluation of our method on the real dataset (Preterm Pain in Infants “PPI” ) composed of thermal videos developed in the context of Infant pain project, a french project supported by the French National Research Agency Projects for science (ANR).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Chekmenev, S.Y., Rara, H., Farag, A.A.: Non-contact, wavelet-based measurement of vital signs using thermal imaging. In: Graphics Vision Image Proc. (2005)

    Google Scholar 

  2. Ding, S., Zhu, X., Chen, W., Wei, D.: Derivation of respiratory signal from single-channel ECGs based on source statistics. Int. J. Bio. Electromagnetism 6, 43–49 (2004)

    Google Scholar 

  3. Abbas, A.K., Heimann, K., Jergus, K., Orlikowsky, T., Leonhardt, S.: Neonatal non-contact respiratory monitoring based on real time infrared thermography. Biomedical Engineering Online (2011)

    Google Scholar 

  4. Al-Khalidi, F., Saatchi, R., Elphick, H., Burke, D.: An Evaluation of Thermal Imaging Based Respiration Rate Monitoring in Children. American Journal of Engineering and Applied Sciences 4(4), 586–597 (2011)

    Article  Google Scholar 

  5. Sun, N., Garbey, M., Merla, A., Pavlidis, I.: Imaging the cardiovascular pulse. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 20–25 (2005)

    Google Scholar 

  6. Ojala, T., Pietikinen, M., Menp, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI 24(7), 971–987 (2002)

    Article  Google Scholar 

  7. Ahonen, T., Hadid, A., Pietikäinen, M.: Face recognition with local binary patterns. In: Pajdla, T., Matas, J.G. (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Ahonen, T., Hadid, A., Pietikinen, M.: Face Description with Local Binary Patterns: Application to Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12), 2037–2041 (2006)

    Article  Google Scholar 

  9. Mallat S.: A wavelet tour of signal processing, the sparse way, 2nd edn. (2001)

    Google Scholar 

  10. Doubechies, I.: Orthonormal Bases of Compactly Supported Wavelets. Comm. Pure Applied Math. 41 (1988)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Adnan Al Alwani or Youssef Chahir .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Al Alwani, A., Chahir, Y., Jouen, F. (2014). Thermal Signature Using Non-redundant Temporal Local Binary-Based Features. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11755-3_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11754-6

  • Online ISBN: 978-3-319-11755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics