An automated visual event detection system for cabled observatory video
An overview of a system for processing video streams from underwater 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.
