Visual processing and representation of spatio-temporal patterns

In an ongoing research we address the problem of representation and process ing of motion information from an integrated perspective covering the range from early visual processing to higher-level cognitive aspects. Here we pr esent: experiments that were conducted to investigate the representation an d processing of spatio-temporal information. Whereas research in this field is typically concerned with the formulation and implementation of visual a lgorithms like, e.g., navigation by an analysis of the retinal flow pattern caused by locomotion, we are interested in memory based capabilities, like the recognition of complicated gestures [16]. The result of this array of experiments will deliver a subset of parameters used for the training of an artificial neural network model. Alternatively , these parameters are important for determining the ranges of symbolic des criptions like, e.g., the qualitative approach by [11] in order to provide an user interface matched to conditions in human vision. The architecture o f the neural net will be briefly sketched. Its output will be used as input for a higher-level stage modelled with qualitative means.