A method of estimating vehicle height, width and speed from images obtained by a monocular camera is presented. The method is based on the detection and tracking of vehicle license plates. The distance between the license plate and the camera is calculated from its pixel coordinates. The method makes no assumptions about the camera mounting height. The computational cost and the processing time are reduced by using tilt measurements provided by a microelectromechanical sensor and field-of-view data obtained prior to installation.
A calibration platform for geometric calibration of multi-sensor image fusion system is presented in this paper. The
accurate geometric calibration of the extrinsic geometric parameters of cameras that uses planar calibration pattern is
applied. For calibration procedure specific software is made. Patterns used in geometric calibration are prepared with
aim to obtain maximum contrast in both visible and infrared spectral range - using chessboards which fields are made of
different emissivity materials. Experiments were held in both indoor and outdoor scenarios. Important results of
geometric calibration for multi-sensor image fusion system are extrinsic parameters in form of homography matrices
used for homography transformation of the object plane to the image plane. For each camera a corresponding
homography matrix is calculated. These matrices can be used for image registration of images from thermal and low
light camera. We implemented such image registration algorithm to confirm accuracy of geometric calibration procedure
in multi-sensor image fusion system. Results are given for selected patterns - chessboard with fields made of different
emissivity materials. For the final image registration algorithm in surveillance system for object tracking we have chosen
multi-resolution image registration algorithm which naturally combines with a pyramidal fusion scheme. The image
pyramids which are generated at each time step of image registration algorithm may be reused at the fusion stage so that
overall number of calculations that must be performed is greatly reduced.