Morphological Change Detection Algorithms for Surveillance Applications

Vision-based systems for remote surveillance usually involve change detection algorithms for intruders, obstacles or irregularities detection. In particular, there is a potentially very cost-effective approach to perform inspection with autonomous robot navigation, computer vision, and change detection based on automatic image registration and subtraction. In these cases, a model of the working environment is compared with data acquired during the system functioning in order to extract region of interests. Real time applications require simple, fast and reliable algorithms and methodologies presented in the literature show that morphological change detection satisfies these requirements. In this paper novel morphological algorithms for scene change detection are introduced; the proposed methods allow to obtain a system whose performances are relatively stationary also with varying environmental condition.