Using location and motion statistics for the localization of moving objects in multiple camera surveillance videos

The aim of the paper is to present an approach for the localization of moving objects in a multi-camera system that is based on the estimation of observed objects' possible groundplane locations and motion statistics aggregation. It is flexible, it can handle arbitrary number of cameras. It uses only location and motion statistics and do not depend on appearance information. Due to its statistical nature the proposed method efficiently handles such challenging situations as changes in viewpoint, occlusions due to view variations, background clutter and crowd.