Simoncelli & Heeger studied how the motion is processed in humans (V1 and MT areas) and proposed a model based on neural populations that extract the local motion structure through local competition of MT like cells. In this paper we present a neural structure that works as dynamic filter on the top of this MT layer and can take advantage of the neural population coding that is supposed to be p...

To provide efficient and flexible material transport, inplant milk-run systems are used by many companies. However, the large number of influencing factors makes in-plant milk-run systems complex, while dependencies and blockages, e.g. overtaking or stopping, require a dynamic approach to examination. Thus we developed a generic simulation model focusing on traffic situations in in-plant road s...

The projection of 3D scenarios onto 2D surfaces produces distortion on the resulting images that affects the accuracy of low-level motion primitives. Independently of the motion detection algorithm used, post-processing stages that use motion data are dominated by this distortion artefact. Therefore we need to devise a way of reducing the distortion effect in order to improve the post-processin...

Developments in the ITS area are received with great expectation by both consumers and industry. Despite their huge potential benefits, ITS solutions suffer from the slow pace of adoption by manufacturers. In this paper we propose EYES, an ITS system that aims at helping drivers in overtaking. The system autonomously creates a network of the devices running EYES, and provides drivers with a vid...

Although motion extraction requires high computational resources and normally produces very noisy patterns in real sequences, it provides useful cues to achieve an efficient segmentation of independent moving objects. Our goal is to employ basic knowledge about biological vision systems to address this problem. We use the Reichardt motion detectors as first extraction primitive to characterize ...