Machine Learning for Adaptable Heterogeneous Indexing and Search

Abstract

This work has developed new technology that matches content between imagery relevant to a certain domain. The focus of this effort was on a law enforcement application concentrating on Human Trafficking (HT) in order to identify the room and background images that would appear in illicit advertisements and connect them to those available on hotel websites. These images would then be gathered according to hotel chain, and then further refined to individual location which would lead to estimates of GPS coordinates. Contractor also employed their unique facial recognition methods to match individuals across ads. The technology is being validated through transition to multiple law enforcement agencies.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2018
Accession Number
AD1060877

Entities

People

  • Artur Dubrawski

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Vision
  • Computers
  • Crime
  • Data Mining
  • Data Science
  • Human Trafficking
  • Information Science
  • Law Enforcement
  • Machine Learning
  • Network Science
  • Neural Networks
  • Pattern Recognition
  • Recognition

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Political Violence and Terrorism Studies.

Technology Areas

  • AI & ML
  • Space