An LMI Approach for Reliable PTZ Camera Self-Calibration

9 years 5 months ago
An LMI Approach for Reliable PTZ Camera Self-Calibration
PTZ (Pan-Tilt-Zoom) cameras are widely used for large-area video surveillance. For many visual tracking and video analysis tasks, an accurate camera calibration is very important. Traditional off-line camera calibration algorithms are often not satisfactory because some of the PTZ camera intrinsic parameters (e.g., focal length) may change during working. Despite of their theoretical elegance, existing on-line camera self-calibration algorithms are not satisfactory either, because of the lack of numerical stability. This paper proposes a new method based on LMI (linear matrix inequality) optimization. This method automatically incorporates the required positive-definiteness constraint into the computation, thus delivers more reliable and more stable results. Experiments on both synthetic data and real images have validated the advantages of our method.
Hongdong Li, Chunhua Shen
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where AVSS
Authors Hongdong Li, Chunhua Shen
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