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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2017
- Accession Number
- AD1054570
Entities
People
- Aleksandr Yarovinskiy
Organizations
- Air Command and Staff College