With funding from the Army Pentagon Office for Environment, Safety and
Occupational Health, Prometheus Scientists have used noncommutative group
harmonic analysis to develop an anomaly detector to automatically detect
discarded chemical munition canisters on the sea floor, in data gathered from
an ROV-mounted video camera. Please note that linked video is 118 MB.
The
resulting Prometheus Object Detection Software (PODS) significantly reduces
video imagery review efforts. PODS is a fast, cost-efficient tool for reducing
the data volume to image frames containing targets of interest. PODS can be
used as an autonomous data reduction tool or as an interactive cuing tool.
Input to the software is uncompressed red/green/blue (RGB) video imagery. The
underlying mathematics is presented in the monograph Group Filters and Image
Processing (Psypher Press, 2003) written by two Prometheus Principal
Scientists, Myoung An and Richard Tolimieri.