Active video-surveillance based on stereo and infrared imaging

Pieri G., Salvetti O.

Video Surveillance  Infrared VIsion  Hierarchical Artificial Neural Networks 

Video-surveillance is a very actual and critical issue at the present time. Within this topic we address the problem of firstly identifying moving people in a scene through motion detection techniques, and subsequently categorising them in order to identify humans for tracking their movements. The use of stereo cameras, coupled with infrared vision, allows to apply this technique to images acquired through different and variable condition, and allows an a priori filtering based on the characteristics of such images to give evidence to objects emitting an higher radiance (i.e. higher tempera-ture).

Source: 14th European Signal Processing Conference, Florence, 04-08/09/2006