Dec 3, 2015 – MBARI’s new Deep-Sea Guide makes it easy for anyone to search MBARI’s treasure trove of images and scientific observations of deep-sea animals, seafloor habitats, geological features, and research tools. Previously only available for internal use, the Deep-Sea Guide is now available to scientists and the general public.
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.
We have developed an automated system for detecting marine organisms visible in the videos. Video frames are processed with a neuromorphic selective attention algorithm. The candidate objects of interest are tracked across video frames using linear Kalman filters. If objects can be tracked successfully over several frames, they are labeled as potentially “interesting” and marked in the video frames.