Moving object discrimination and tracking for unmanned surveillance system

Young Ho Kim; Kyu-Won Lee; Jun Geun Jeon; Kyu Tae Park; Inh Seok Suh; Byung Deok Nam

doi:10.1117/12.233230

27 February 1996 Moving object discrimination and tracking for unmanned surveillance system

Young Ho Kim, Kyu-Won Lee, Jun Geun Jeon, Kyu Tae Park, Inh Seok Suh, Byung Deok Nam

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233230
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Young Ho Kim, Kyu-Won Lee, Jun Geun Jeon, Kyu Tae Park, Inh Seok Suh, and Byung Deok Nam "Moving object discrimination and tracking for unmanned surveillance system", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233230

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