Authors: A.I. Saleh; A.M. Sarhan; R.K. Elsadek
Addresses: Department of Computer, Faculty of Engineering, Mansoura University, Mansoura, Egypt. ' Department of Computer, Faculty of Engineering, Mansoura University, Mansoura, Egypt. ' Department of Computer, Faculty of Engineering, Mansoura University, Mansoura, Egypt
Abstract: Recently, because of its importance in computer vision and surveillance systems, object tracking has progressed rapidly. In this paper a novel strategy for tracking multiple objects using static cameras is introduced, which can be used to grant a cheap, easy installation, and robust tracking system. The proposed tracking strategy is based on scenes captured by static video cameras. Each camera is attached to a workstation that analyses its stream. All workstations are connected to a tracking server, which harmonises the system, collects the data, and creates the output spatial-tempo database. Our contribution comes in two issues. The first is to present a new methodology for transforming the image coordinates of an object to its real coordinates. The second is to offer a flexible event-based object tracking strategy, which has been tested over a CAD of soccer game environment. Preliminary experimental results show the robust performance of the proposed tracking strategy.
Keywords: object tracking; sensors; perspective projection; background subtraction; Kalman filter; multiple objects; static cameras; computer vision; surveillance systems; soccers games; football matches.
International Journal of Intelligent Systems Technologies and Applications, 2011 Vol.10 No.4, pp.396 - 427
Available online: 17 Feb 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article