A statistical method for object localization in multi-camera tracking
László Havasi, Zoltán Szlávik · 2010
The aim of the paper is to show that localization of observed moving objects is possible in a multicamera environment, based on the simple foreground mask and the estimation of the size distribution on image plane. The method is flexible, it can handle arbitrary number of cameras and objects. It is based only on change detection masks and does 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.