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

Adnan Al Alwani (1) , Youssef Chahir (1) , François Jouen (2)

1 Equipe Image - Laboratoire GREYC - UMR6072
2 CHART - Cognitions Humaine et ARTificielle

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).

Domaines: Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]

Adnan Al Alwani, Youssef Chahir, François Jouen. Thermal Signature Using Non-redundant Temporal Local Binary-Based Features. International Conference on Image Analysis and Recognition, Jun 2015, Algarve, Portugal. pp.151-158. ⟨hal-01168439⟩