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One of the typical distortions in the background estimation methods is a change of lighting conditions, since each such change influences on the luminance of pixels in the captured images, which may be classified as the background. The global changes are relatively easy to compensate, but in practical applications the character of most of such changes is rather local. These changes may be caused e...
Most of the vehicles, which can be observed by the cameras used in the Intelligent Transport Systems, are coated with reflective layers which, like car windows, are characterized by the effect of light polarisation. Utilising this effect by using a camera designed for the Intelligent Transportation System along with the linear polarizer it is possible to improve the extraction of the vehicles from...
The use of super-resolution algorithms can increase the resolution of image subject to further analysis in relation to the physical resolution of the camera recording the video sequence. A typical recording of such sequence is done with a fixed time interval (pre-determined number of frames per second). This can cause the shift of the plate image for subsequent frames by the total number of pixels,...
Video systems are used in Intelligent Transportation Systems for vehicles’ tracking. Cameras typically used in these systems are characterized by relatively low dynamic range which is only a fragment of the dynamic range of the human eye. In order to adapt to the lighting conditions the cameras feature dynamic changes of the gain and exposure. For vehicles there is a very wide range of the observed...
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