Dipl.-Inf. Cornelia Beck

Research Interests

• neural models of motion estimation
• neural mechanisms of form and motion interaction
• real-time application of bioinspired algorithms

Projects

From January 2006 to January 2009, I have been working for the EU-project Decisions-in-Motion that focused on the neural mechanisms underlying desicions of a moving observer in tasks with independently moving objects, like in a traffic scenario. Within the project, a robot application has been developed that is able to move around without hitting obstacles. The detection of the optic flow and the decision where to head are, amongst other, based on our neural model for optic estimation. A short demo of the robot can be found at the website of New Scientist.
Currently, I am working for the EU-project SEARISE where we are developing a dynamic hierarchical neural architecture for surveillance systems that is inspired by the human visual system.

Publications

Interactions of motion and form in visual cortex - A neural model. Beck C., Neumann H.; Journal of Physiology Paris, 2009; under revision;

Neural rank-order coding with spiking neurons for cortical motion detection and integration. Beck C., Thorpe S., Neumann H.; Proc. Int'l. Conf. on Cognitive Systems, CogSys 2008, Karlsruhe, Germany, Apr. 2-4

Object Segmentation from Motion Discontinuities and Temporal Occlusions – A Biologically Inspired Model. Beck C., Ognibeni T., Neumann H.; PLoS ONE, 2008; 3(11): e3807

Integration of multiple temporal and spatial scales for robust optic flow estimation in a biologically inspired architecture. Beck C., Gottbehüt T., Neumann H.; Proc. 12th Int'l Conf. on Computer Analysis of Images and Patterns, CAIP'07, LNCS, Springer, 20074; 53-60

Optic flow integration at multiple spatial frequencies - Neural mechanism and algorithm. Beck C., Bayerl P., Neumann H.;  Int'l. Symp. on Visual Computing (ISVC'06), LNCS 4291, Springer, 2006; 741-750,


List of all Publications