An efficient algorithm for discriminating and tracking a moving object for the unmanned surveillance system is proposed. Shape discrimination process uses the boundary map, and determines whether the moving object is the target of tracking. In order to successfully obtain the target motion information (by removing the background motion from the scene) after the tracking is started, we use an extension of the directional selectivity theory for the motion model, and we use a ramp-shaped profile of the intensity change at every edge point. We are currently designing a real-time dedicated system only for the moving target discrimination and tracking using high speed programmable logic devices. Simulation of discrimination and tracking a moving object, limited to a walking man in this paper, is performed successfully by using the proposed algorithm.

Date Published: 27 February 1996
PDF: 11 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996);

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)