Nowadays low cost acquisition devices are available, so the classical Image Analysis is a common task not only in research studies, but also in industrial application. Our interests in this area cover many aspects that can be grouped into two main categories: offline analysis of still images acquired in indoor (user controlled) environments and real-time interpretation of sequences of frames in outdoor environments (e.g. moving robots or vehicles).
Among others researches, there is a project in collaboration with Centro Ricerche FIAT; its main goal is the fusion of data produced by different sources (in particular vision cameras) to obtain an affordable data interpretation. Such results are the basis for software module to embed in common road vehicles. As examples: multiple sensors for pre-crash warning, and actuation systems based on obstacle detection, classification and tracking; driver assistance systems, based on driver status monitoring, manoeuver-area sensing and critical situation detection.
Another research regards the segmentation of MPEG-coded digital video sequences in homogeneous and consecutive frame sets, in collaboration with CRIMTA - Centro di Ricerca Interpartimentale Multimediale sul Teatro Antico, in order to obtain MPEG video regarding ancient theatre and content description to detect shot and frame. The importance of this step is evident as it turns out to be necessary for a correct implementation of any successive elaboration such as classification, compression, restoration, transmission, and analysis of video content and reproduction.