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Calculating of vehicles density in traffic images is a challenging research topic as it has to directly deal with hostile but realistic conditions on the road, such as uncontrolled illuminations, cast shadows, and visual occlusion. Yet, the outcome of being able to accurately count and resolve vehicles under such conditions has tremendous benefit to traffic surveillance. Accurate vehicle count enables...
Detecting moving objects is a significant component in many machine vision systems. One of the challenges in real world motion detection is the unstability of the background. An ideal method is expected to reliably detect interesting movements from videos while ignoring background/uninteresting movements. In this paper, Genetic Programming (GP) based motion detection method is used to tackle this...
We propose a localization system based on artificial landmarks and omnidirectional vision for agricultural vehicle navigation. The system sets four red artificial landmarks as a rectangle in the corners of an operating spot and estimates an absolute position. This paper introduces an algorithm in which red landmark pixels beyond the threshold were extracted as a small area and the center of gravity...
Intelligent driver assistance systems, such as lane departure warning, extract 3D information of the road geometry from a camera. Therefore, the transformation between the image and the ground plane has to be determined with a very high accuracy. Conventional calibration methods are usually a compromise between the accuracy and a preferably small effort for the calibration set-up. In this paper, we...
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