A Master-Slave Calibration Algorithm with Fish-Eye Correction

Abstract EN

Surveillance systems capable of autonomously monitoring vast areas are an emerging trend, particularly when wide-angle cameras are combined with pan-tilt-zoom (PTZ) cameras in a master-slaveconfiguration.

The use of fish-eye lenses allows the master camera to maximize the coverage areawhile the PTZ acts as a foveal sensor, providing high-resolution images of regions of interest.

Despitethe advantages of this architecture, the mapping between image coordinates and pan-tilt values isthe major bottleneck in such systems, since it depends on depth information and fish-eye effect correction.

In this paper, we address these problems by exploiting geometric cues to perform heightestimation.

This information is used both for inferring 3D information from a single static cameradeployed on an arbitrary position and for determining lens parameters to remove fish-eye distortion.

When compared with the previous approaches, our method has the following advantages: (1) fish-eyedistortion is corrected without relying on calibration patterns; (2) 3D information is inferred from asingle static camera disposed on an arbitrary location of the scene.