Television – Monitoring – testing – or measuring – Monitor
Reexamination Certificate
2008-10-06
2011-11-15
Hannett, James (Department: 2622)
Television
Monitoring, testing, or measuring
Monitor
Reexamination Certificate
active
08059154
ABSTRACT:
Camera calibration for a particular camera is automated based on line segments derived from historical data of images passing within that camera's view. Objects having a stable history of orientation are selected for conversion to line segments. A model is derived that fits the way most of the objects behave. The model is specific for the camera supplying the historical data and is specific for the location and position of the camera in that location. The model is able to predict how an object would appear at different locations in the scene and can be applied to data collected by that camera in that location in the future. Outputs include internal camera parameters, a vertical vanishing point and horizontal vanishing line, an equation of the floor and height of objects touching the floor relative to the average person height in the calibration video data.
REFERENCES:
patent: 2003/0004694 (2003-01-01), Aliaga et al.
patent: 2004/0233290 (2004-11-01), Ohashi et al.
patent: 2007/0003141 (2007-01-01), Rittscher et al.
patent: 2008/0075358 (2008-03-01), Yu et al.
patent: 2008/0144926 (2008-06-01), Hattori et al.
patent: 2008/0317379 (2008-12-01), Steinberg et al.
patent: 2009/0037039 (2009-02-01), Yu et al.
patent: 2009/0252421 (2009-10-01), Stentiford
Horovitz Itsik
Kiro Shmuel
Hannett James
McKeon Meunier Carlin Curfman
Verint Systems Ltd.
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