Intelligent surveillance system for abandoned luggage

In this paper, an automatic method based on computer vision for the detection of abandoned luggage/bag in public spaces is proposed. First, with the background subtraction and foreground modeling technique, objects that were not present in the previous frames and have appeared later on as a static object are detected and then whether they are luggage or not are determined using the Faster Region Proposal Convolutional Neural Network (Faster R-CNN) technique. At the same time, the person closest to the luggage is identified and defined as the owner. After that, the event analysis phase is being started. If the identified person is not in the luggage area within a certain period of time (e.g. 30 seconds), the luggage is defined as “abandoned” with a bounding box. The assessments show that the proposed approach is effective and rapid.