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16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
Self-Calibration of a Camera from Video of a Walking Human
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Fengjun Lv, University of Southern California
Tao Zhao, University of Southern California
Ram Nevatia, University of Southern California
Analysis of human activity from a video camera is simplified by the knowledge of the camera?s intrinsic and extrinsic parameters. We describe a technique to estimate such parameters from image observations without requiring measurements of scene objects. We first develop a general technique for calibration using vanishing points and vanishing line. We then describe a method for estimating the needed points and line by observing the motion of a human in the scene. Experimental results, including error estimates, are presented.
Citation:
Fengjun Lv, Tao Zhao, Ram Nevatia, "Self-Calibration of a Camera from Video of a Walking Human," icpr, vol. 1, pp.10562, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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