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Super-resolution algorithms in intelligent transport systems for tracking distant vehicles

The article presents the possibilities of applying super-resolution algorithms to improve the image resolution of moving vehicles located at a significant distance from the camera, while the camera is positioned at a low height above the road. The proposed solution is based on background estimation and the additional use of a morphological dilation operator to obtain better quality of the resulting image reconstructed from a sequence of consecutive video frames.Intelligent Transport Systems (ITS) are one of the leading methods for improving the quality of transport, mainly road transport. They provide automation of traffic control processes and real-time monitoring, which enables adaptive indirect vehicle control. Such systems consist of an executive part (a control subsystem, which includes traffic lights, variable message signs, etc.), a measurement part (which includes various types of road sensors), and control algorithms along with hardware ICT infrastructure. (…)

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Source: Logistyka Magazine

Super-resolution algorithms in intelligent transport systems for tracking distant vehicles – PDF file for download