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Real-time video tracking using PTZ cameras Sangkyu Kanga

Summary: Real-time video tracking using PTZ cameras
Sangkyu Kanga
, Joonki Paikab
, Andreas Koschana
, Besma Abidia
, and Mongi A. Abidia
IRIS Lab, Department of Electrical & Computer Engineering, University of Tennessee
Knoxville, Tennessee 37996-2100
Image Processing Laboratory, Department of Image Engineering
Graduate School of Advanced Imaging Science, Multimedia, and Film,
Chung-Ang University, 221 Huksuk-Dong, Dongjak-Gu, Seoul, 157-756, Korea
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


Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee


Collections: Computer Technologies and Information Sciences