Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
This paper describes the Agilo RoboCuppers 1 – the RoboCup team of the image understanding group (FG BV) at the Technische Universit¨at M¨unchen. With a team of five Pioneer 1...
Thorsten Bandlow, Robert Hanek, Michael Klupsch, T...
In this paper, we tackle the problem of localizing graphical symbols on complex technical document images by using an original approach to solve the subgraph isomorphism problem. ...