Drunk person identification using thermal infrared images

Abstract

Drunk person identification is carried out using thermal infrared images. Two different approaches are proposed for distinguishing a drunk person by means of radiometric values on its face. The features used in the first approach are simply the pixel values of specific points on the face of the person. It is proved that the cluster of a specific person moves in the feature space as the person consumes alcohol. Fisher linear discriminant approach is used for space dimensionality reduction. The feature space is found to be of very low dimensionality. The majority of the clusters moves towards the same direction and the feature space can easily be separated into the ‘sober’ and ‘drunk’ regions. Thus the ‘drunk’ feature space is introduced. In the second approach thermal differences between various locations on the face are evaluated and their value is monitored. It was found that specific areas in the face of a drunk person present an increased thermal illumination. These areas are the best candidates for identifying a drunk person. The concept behind this second proposed approach relies on a physiology-based face identification procedure.