An Automated Visual Event Detection system for cabled observatory video

This paper presents an over-view of a system for processing video streams from under-water cabled observatory systems based on the Automated Visual Event Detection (AVED) software. This system identifies potentially interesting visual events using a neuromorphic vision algorithm and tracks events frame-by-frame. The events can later be previewed or edited in a graphical user interface for false detections, and subsequently imported into a database, or used in an object classification system.