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1 May 2003 Real-time video tracking using PTZ cameras
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Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003)
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sangkyu Kang, Joon-Ki Paik, Andreas Koschan, Besma R. Abidi, and Mongi A. Abidi "Real-time video tracking using PTZ cameras", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514945;

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