In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Impulsive noise filtering is an important problem of image processing. The problem of noise elimination in an image has a companion problem, the problem of maximal preservation of...
Igor N. Aizenberg, Jaakko Astola, Constantine Buta...
The paper deals with grouping of edges to contours of shapes using only local symmetry and continuity. Shape skeletons are used to generate the search space for a version of the M...
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
It is a difficult task to design transfer functions for noisy data. In traditional transfer-function spaces, data values of different materials overlap. In this paper we introduce...
Martin Haidacher, Daniel Patel, Stefan Bruckner, A...