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Carnegie Mellon Robotics Institute

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Abstract

A parametric camera model and calibration procedures are developed for an outdoor active camera system with pan, tilt and zoom control. Unlike traditional methods, active camera motion plays a key role in the calibration process, and no special laboratory setups are required. Intrinsic parameters are estimated automatically by fitting parametric models to the optic flow induced by rotating and zooming. No knowledge of 3D scene structure is needed. Extrinsic parameters are calculated by actively rotating the camera to sight a sparse set of surveyed landmarks over a virtual hemispherical field of view, yielding a well-conditioned pose estimation problem.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Video Surveillance and Monitoring and People Image Analysis Consortium

Associated Project(s): Video Surveillance and Monitoring

Text Reference

Robert Collins and Yanghai Tsin, "Calibration of an Outdoor Active Camera System," IEEE Computer Vision and Pattern Recognition (CVPR '99), June, 1999, pp. 528 - 534.

BibTeX Reference

@inproceedings{Collins_1999_3132,
   author = "Robert Collins and Yanghai Tsin",
   title = "Calibration of an Outdoor Active Camera System",
   booktitle = "IEEE Computer Vision and Pattern Recognition (CVPR '99)",
   pages = "528 - 534",
   month = "June",
   year = "1999",
}

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