An Abandoned Objects Management System Based on the Gaussian Mixture Model

In this paper, a comprehensive solution for managing abandoned objects is proposed, which means that the system can deal with the objects that are abandoned and removed. The system contains two adaptive abandoned object detection (AOD) methods that are both based on the Gaussian mixture model for real environments. The first method is more efficient than the second one, but the latter is more robust than the former. The proposed methods are proved to be characterized with prominent efficiency and robustness according to the experimental results.