Surveillance Camera Calibration from Observations of a Pedestrian

Abstract

Calibrated cameras are an extremely useful resource forcomputer vision scenarios. Typically, cameras are calibratedthrough calibration targets, measurements of the observedscene, or self-calibrated through features matchedbetween cameras with overlapping fields of view. This paperconsiders an approach to camera calibration based onobservations of a pedestrian and compares the resultingcalibration to a commonly used approach requiring thatmeasurements be made of the scene.