Region Of Interest Detection For Automotive Applications

Driven by increasing concerns over automotive safety, the development of on-board automotive driver assistance systems to alert drivers about potential collisions with objects such as pedestrians or vehicles has become a huge area of research. The aim of this paper is to present a novel approach for the first processing stage in many of these types of systems. An algorithm is presented which uses a single visual camera to identify Regions Of Interest (ROIs) in front of a moving vehicle, which may contain objects that represent a “threat”. These ROIs are then categorised into different priorities depending on their position in the image, which in turn gives a measure of their threat level.