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This website
gives an overview of the distributed video-based survelliance system we built. The
system acquires and processes grey level images through one or
multiple Camera Units monitoring certain area(s) via a Local Area
Network (LAN) and is capable of combining information from
multiple Camera Units to obtain a consensus decision. It can be
trained to detect certain type of intrusions, for example
pedestrians, a group of pedestrians, vehicles, pets etc., and
minimizes false alerts due to other non-interested intrusions. As
a case study, we aim to detect Pedestrian/Vehicle in an
observation area. |
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