The automatic and unobtrusive identification of user's activities is one of the challenging goals of context-aware computing. This paper discusses and experimentally evaluate...
As an example of digital augmentation of a tiny object, a small cube-sized die is presented that perceives and records what face it rolls on. It is thus able to detect bias and co...
We report a novel method for logging and annotating video footage specifically for professional post-production and archivist end users. SALSA – Semi-Automated Logging with Sema...
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...