A System Theoretic Approach to Robust Detection Of Potential Threats from Video
F3-F (Phase 1)

Download the 2013 Project Report

This research aims at a substantial enhancement of the ability to conduct autonomous, video based, persistent intelligent surveillance, and reconnaissance and threat assessment in highly uncertain, adversarial scenarios such as urban environments. The main idea is the use of operator theoretic and convex analysis methods to recast several key sub-problems arising in this context -tracking, dynamic appearance, and activity recognition -into a finite dimensional convex optimization that can be efficiently solved.

Video-based surveillance methods have enormous potential for providing advance warning of terrorist activities and threats.
- Octavia Camps, Project Leader
Project Leader
  • Octavia Camps
    Professor
    Northeastern University
    Email

Faculty and Staff Currently Involved in Project
  • Mario Sznaier
    Professor
    Northeastern University
    Email

  • Gilead Tadmor
    Professor
    Northeastern University
    Email

Students Currently Involved in Project
  • Caglayan Dicle
    Northeastern University
  • Oliver Lehmann
    Northeastern University
  • Binlong Li
    Northeastern University