Intelligence Surveillance And Reconnaissance Full Motion Video Automatic Anomaly Detection Of Crowd Movements: System Requirements For Airborne Application

Abstract

The collection of Intelligence, Surveillance, and Reconnaissance (ISR) Full Motion Video (FMV) is growing at an exponential rate, and the manual processing of it cannot keep up with its growth. The purpose of this study is to develop automatic solutions to help analysts produce actionable intelligence for the warfighter. This paper will address the question of how can automatic pattern extraction, based on computer vision, extract anomalies in crowd behavior in ISR imagery. This paper will overview recent advances in automatic crowd anomaly detection techniques and the current technology necessary to implement them in the field. Assumptions are made for linear and ideal scaling of crowd anomaly detection techniques, using current technology, for field applications. The end product is a proposed pod system for airborne applications capable of processing an area the size of a small city for all crowd anomalies, and transmission of results to a ground node. Further study is required to optimize the proposed system for efficiency of scale.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2017
Accession Number
AD1054570

Entities

People

  • Aleksandr Yarovinskiy

Organizations

  • Air Command and Staff College

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Anomaly Detection
  • Area Coverage
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Artificial Neural Networks
  • Central Processing Units
  • Change Detection
  • Computer Architecture
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Computers
  • Computing System Architectures
  • Convolutional Neural Networks
  • Detection
  • Detectors
  • Full Motion Video
  • Graphics Processing Unit
  • Image Processing
  • Improvised Explosive Devices
  • Neural Networks
  • Optical Detectors
  • Signal Processing

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy