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Aim of this paper is to propose a solution to the correspondence problem in multi-camera systems. In these systems, two or more cameras are used to record the same scene from different view points. In this way it is possible to face the problem of occlusions in crowding scenes. In this work an object level motion detection algorithm is used and it is applied to the videos sampled by two cameras. The...
Aim of this work is to present a new approach to the problem of user presence monitoring in working environments. Particularly, this work is focused on the evaluation of the presence or absence of a user in front of a terminal. This question is of paramount importance in applications requiring the user's presence e.g. video surveillance systems, control centrals, etc. The authors propose a technique...
In a Web-oriented society, organization, retrieval, and classification of digital images have become one of the major endeavors. In this paper, we study the mechanisms of fuzzy clustering and fuzzy clustering with partial supervision in the analysis and classification of images. It is demonstrated that the main features of fuzzy clustering become essential in revealing the structure in a collection...
Focus of this work is the presentation of an interface for an image retrieval system that makes users aware of the overall organization of the image database. The main features of this system are the multi-images query approach and the use of a dynamic knowledge base in order to improve the system performances. The multi-images query is utilized because often a single image does not fully cover the...
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