From tracking to advanced surveillance

Abstract

Using a simple but robust real-time algorithm that allows tracking of multiple objects in complex environments, the authors propose a wide range application in automatic surveillance by linking blobs' information, in terms of trajectories and positions, with the events to be detected. Real-time is achieved reducing the computation time avoiding the use of colour in the segmentation stage and statistical prediction in the tracking stage and using instead segmentation based on luminance contrast and tracking based on the overlapping information from bounding boxes from two consecutive frames.