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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...
Video surveillance systems are usually composed of a network of active video sensors that continuously capture the scenes and present them to a human operator for analysis and event detection. Unfortunately human operators are often unable to monitor the video streams coming from a large number of video sensors. In this paper a semantic event detection system based on a neural classifier is presented...
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