Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
This paper is about a web-based system for collaboration and sharing of information among medical professionals. The system, originally targeted for ophthalmologists, has a generi...
Tatjana M. Burkow, Kristian Fossen, Line Lundvoll ...
This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to perform interactive domestic tasks. Range data is segmented into geometric primi...
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for v...
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...