no code implementations • 16 Jan 2020 • Marc Bosch, Joseph Nassar, Benjamin Ortiz, Brendan Lammers, David Lindenbaum, John Wahl, Robert Mangum, Margaret Smith
We have investigated and designed a system capable of detecting events and activities of interest that deviate from the baseline patterns of observation given FMV feeds.
no code implementations • 16 Jan 2020 • Benjamin Ortiz, David Lindenbaum, Joseph Nassar, Brendan Lammers, John Wahl, Robert Mangum, Margaret Smith, Marc Bosch
These datasets (e. g. geocoded features, video streams, raw text, social network data, etc.)
no code implementations • 20 Dec 2019 • Joseph Nassar, Viveca Pavon-Harr, Marc Bosch, Ian McCulloh
In this paper we studied this problem for object detection and recognition. We conducted several data annotation experiments to measure inter annotator agreement and consistency, as well as how the selection of ground truth impacts the perceived algorithm performance. We propose a methodology to monitor the quality of annotations during the labeling of images and how it can be used to measure performance.