A Method for Detecting Long Term Left Baggage based on Heat Map
Pasquale Foggia, Antonio Greco, Alessia Saggese, Mario Vento · 2015
In this paper we propose a method able to identify the presence of objects remaining motionless in the scene for a long time by analyzing the videos acquired by surveillance cameras.Our approach combines a background subtraction strategy with an enhanced tracking algorithm.The main contributions of this paper are the following: first, spatio-temporal information is implicitly encoded into a heat map; furthermore, differently from state of the art methodologies, the background is not updated by only evaluating the instantaneous movement of the objects, but instead by taking into account their whole history encoded in the heat map.The experimentation has been carried out over two standard datasets and the obtained results have been compared with state of the art approaches, confirming the effectiveness and the robustness of our system.