In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted ...
A growing body of research is investigating the use of tabletop displays, in particular to support collaborative work. People often interact directly with these displays, typicall...
In this paper, we present our work on a level of detail(LoD) technique for human-like face models in virtual environments. Conventional LoD techniques have been adapted to allow f...