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Proceedings Paper

Moving object discrimination and tracking for unmanned surveillance system
Author(s): Young Ho Kim; Kyu-Won Lee; Jun Geun Jeon; Kyu Tae Park; Inh Seok Suh; Byung Deok Nam
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Paper 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.

Paper Details

Date Published: 27 February 1996
PDF: 11 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233230
Show Author Affiliations
Young Ho Kim, Yonsei Univ. (South Korea)
Kyu-Won Lee, Yonsei Univ. (South Korea)
Jun Geun Jeon, Yonsei Univ. (South Korea)
Kyu Tae Park, Yonsei Univ. (South Korea)
Inh Seok Suh, Samsung Aerospace Industry, Ltd. (South Korea)
Byung Deok Nam, Samsung Aerospace Industries, Ltd. (South Korea)


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

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