We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Abstract. Collections are omnipresent within models: collections of references can represent relations between objects, and collections of values can represent object attributes. C...
Duplicating the full dynamic capabilities of the human eye-brain combination is a difficult task but an important goal because of the wide application that a system which can acqu...
Khurram Jawed, John Morris, Tariq Khan, Georgy L. ...