TESEI , A.

The architecture of a distributed vision system (DVS) based on a combination of multiple modules of standard and extended Kalman filters is presented. It exploits a representation of static and dynamic knowledge for estimation purposes. Spatial constraints describe how observed image features lead to estimate parameters (i.e., in the present...

Two pdf models suitable for describing nonGaussian iid noise are introduced. The models are used in the design of a LOD test for detecting weak signals in real non Gaussian noise. Results obtained in tlie context of an underwater acoustic application are encouraging.

In the present paper, multiple-hypothesis static knowledge modelling is introduced in the distributed inference mechanism of Extended Kalman Filters presented in [l]. The extension from single to multiple modelling based on spatial constraints the system performances to be improved and the system functionalities to be extended (in terms of...

In this paper, the approach used to estimate people number for planning purposes in DIMUS (ESPRIT project P-5345) is described. Crowding estimation is based on the image-processing and inference phases applied to acquired data. Images come from a set of visual b/w camera oriented towards a zone to be monitored. Some significant features...