Activity Analysis in Wide-Area Aerial Surveillance Video

Abstract

In this work, we present methods for tracking and activity analysis that are scalable and appropriate for challenges present in wide-area aerial video. After an initial preprocessing stabilization step, we use a constrained interest point matching algorithm to generate weak tracks of vehicles in the scene. We then present algorithms that exploit the tracks to recognize traffic activity patterns of flow direction, uni vs. bidirectional traffic, acceleration/deceleration zones, and bidirectional stops via analysis of characteristic velocity patterns. Lastly, we provide quantitative and qualitative results of our activity analysis algorithms using both synthetic and real imagery.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2011
Accession Number
AD1001185

Entities

People

  • James W. Davis
  • Ryan Feather

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Aerial Photography
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Computer Science
  • Computer Vision
  • Data Sets
  • Deceleration
  • Detection
  • Force Protection
  • Observation
  • Precision
  • Surveillance
  • Vascular System Injuries
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Computer Vision.