Object Detection and Tracking in Distributed Surveillance Systems Using Multiple Cameras

In the last decade video-surveillance systems have been developed for guarding remote environments in order to detect and prevent dangerous situations. Until few years ago, surveillance was performed entirely by human operators, who interpreted the visual information presented to them on one or more monitors. Sometimes, their work conditions resulted in failing to raise the generation of alarms in case of dangerous situations.

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