Andrea Caroppo

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Surveillance systems that automatically detect illegal behaviors performed by unaware people have a wide range of applications: security, health-care, conservation of cultural heritage and so on. In particular monitoring public areas such as museums and archaeological sites is a challenging problem that has to be solved in order to avoid irreparable damages(More)
Detecting moving objects is very important in many application contexts such as people detection, visual surveillance, automatic generation of video effects, and so on. The first and fundamental step of all motion detection algorithms is the background modeling. The goal of the methodology here proposed is to create a background model substantially(More)
This work describes a heterogeneous sensor platform for elderly people useful in Ambient Assisted Living context for sleep disorder evaluation. The platform integrates hardware (ambient and wearable sensors), as well as software components (data simulation tool, reasoning). Three sensors with different sensing principles are considered: a Time-Of-Flight(More)
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