We present an approach to attention in active computer vision. The notion of attention plays an important role in biological vision. In recent years, and especially with the emergi...
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
A multi-class traffic scene segmentation approach based on scene flow data is presented. Opposed to many other approaches using color or texture features, our approach is purely ba...
Alexander Barth, Jan Siegemund, Annemarie Mei&szli...
In the paper we present a method to estimate relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from...
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...