Moving object detection and tracking for the purpose of multimodal surveillance system in urban areas

Abstract

Background subtraction method based on mixture of Gaussians was employed to detect all regions in a video frame denoting moving objects. Kalman filters were used for establishing relations between the regions and real moving objects in a scene and for tracking them continuously. The objects were represented by rectangles. The objects coupling with adequate regions including the relation of many-to-many was studied experimentally employing Kalman filters. The implemented algorithm provides a part of an advanced audio-video surveillance system for security applications which is described briefly in the paper. © 2008 Springer-Verlag Berlin Heidelberg.