Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
When objects are recognized by using multiple cameras, recognition rates strongly depend on the camera arrangement. In this paper, we propose a new method for planning a multiple ...
We propose a method of calibrating multiple camera systems that operates by adjusting the camera parameters and the 3D shape of objects onto silhouette observations. Our method em...
Multiple projections of a scene cannot be arbitrary, the allowed configurations being given by matching constraints. This paper presents new matching constraints on multiple proj...
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...