Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video

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.

Event Detection General Classification +2

A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning

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.)

SpaceNet MVOI: a Multi-View Overhead Imagery Dataset

no code implementations • ICCV 2019 • Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar, Hanlin Tang

To address this problem, we present an open source Multi-View Overhead Imagery dataset, termed SpaceNet MVOI, with 27 unique looks from a broad range of viewing angles (-32. 5 degrees to 54. 0 degrees).

object-detection Object Detection +1

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

1 code implementation • 17 May 2018 • Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar

We present the DeepGlobe 2018 Satellite Image Understanding Challenge, which includes three public competitions for segmentation, detection, and classification tasks on satellite images.