  In this paper we propose a traffic surveillance camera calibration method
based on detection of pairs of vanishing points associated with vehicles in the
traffic surveillance footage. To detect the vanishing points we propose a CNN
which outputs heatmaps in which the positions of vanishing points are
represented using the diamond space parametrization which enables us to detect
vanishing points from the whole infinite projective space. From the detected
pairs of vanishing points for multiple vehicles in a scene we establish the
scene geometry by estimating the focal length of the camera and the orientation
of the road plane. We show that our method achieves competitive results on the
BrnoCarPark dataset while having fewer requirements than the current state of
the art approach.
