We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Bilateral symmetry is a salient visual feature of many man-made objects. In this paper, we present research that use bilateral symmetry to identify, segment and track objects in re...
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Information linkage is becoming more and more important in this digital age. In this paper, we propose a concept tracking method, which links the news stories with the same topic ...
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...