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Proceedings Paper

Real-time video tracking using PTZ cameras
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Paper Abstract

Automatic tracking is essential for a 24 hours intruder-detection and, more generally, a surveillance system. This paper presents an adaptive background generation and the corresponding moving region detection techniques for a Pan-Tilt-Zoom (PTZ) camera using a geometric transform-based mosaicing method. A complete system including adaptive background generation, moving regions extraction and tracking is evaluated using realistic experimental results. More specifically, experimental results include generated background images, a moving region, and input video with bounding boxes around moving objects. This experiment shows that the proposed system can be used to monitor moving targets in widely open areas by automatic panning and tilting in real-time.

Paper Details

Date Published: 1 May 2003
PDF: 9 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514945
Show Author Affiliations
Sangkyu Kang, Univ. of Tennessee (United States)
Joon-Ki Paik, Univ. of Tennessee (United States)
Chung-An Univ. (South Korea)
Andreas Koschan, Univ. of Tennessee (United States)
Besma R. Abidi, Univ. of Tennessee (United States)
Mongi A. Abidi, Univ. of Tennessee (United States)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin Jr.; Fabrice Meriaudeau, Editor(s)

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