In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
Actions in real world applications typically take place in cluttered environments with large variations in the orientation and scale of the actor. We present an approach to simult...
We propose a system for the automatic segmentation of novelties from the background in scenarios where multiple images of the same environment are available e.g. obtained by weara...
Omid Aghazadeh, Josephine Sullivan, Stefan Carlsso...
This paper describes new vision-based registration methods utilizing not only cameras on a user’s head-mounted display but also a bird’s-eye view camera that observes the user...