This paper presents a principled and practical method for the computation of visual saliency of spatiotemporal events in full motion videos. Based on the assumption that uniquenes...
Spatiotemporal helixes constitute a novel method we developed for modeling changes in an object over time. Changes in both an object's trajectory and its outline can be repre...
Kristin Eickhorst, Peggy Agouris, Anthony Stefanid...
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...