Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
We develop a module-based framework for constraint modeling where it is possible to combine different constraint modeling languages and exploit their strengths in a flexible way. ...
In this paper we propose a novel framework for efficiently extracting foreground objects in so called shortbaseline image sequences. We apply the obtained segmentation to improve...
Trip planning and in-vehicle navigation are crucial tasks for easier and safer driving. The existing navigation systems are based on machine intelligence without allowing human kn...
Designers generally agree that understanding the context of use is important in designing products. However, technologically advanced products such as personal robots engender com...