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

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Image Analysis and Recognition (ICIAR 2014)

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

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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).

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  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 

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Correspondence to Adnan Al Alwani or Youssef Chahir .

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© 2014 Springer International Publishing Switzerland

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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.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11754-6

  • Online ISBN: 978-3-319-11755-3

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