Madrid, Spain
13 - 16 September 2021
Conference SD111
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies V
Conference Committee
Important Dates
Abstract Due:
28 April 2021
Abstract due date has been extended. Submit your abstract now.

Author Notification:
18 June 2021

Manuscript Due Date:
16 August 2021

Call for
This conference brings together emerging technologies for countering terrorism and crime and providing support to forensics, surveillance, security and defence forces. It addresses the big issue of maintaining security and safety by detecting and identifying dangerous, hidden and camouflaged materials and recognizing suspicious behavior from video imagery, all the while working within a legal and moral framework that respects individuals’ rights.

Part 1: Detection and identification of materials Sensors for explosives, narcotics, and chemical and biological warfare agents must provide a prompt alert with fast, wide area coverage and must cope with unexpected hiding places. If they are to be routinely deployed, such sensors must offer accurate detection and low false alarm rates, use few consumables and need little operator involvement. Optical sensing now extends from UV, through visible and infrared, into terahertz and RF wavelengths, offering novel imaging systems with increased penetration through barriers, and spectroscopic techniques that can help characterize suspicious materials.

Part 2: Computer vision and video content analysis The threat from people’s activities can be reduced by identifying suspicious behaviour and by tracking individuals across multiple TV cameras. Increased computing power and advanced algorithms are expected to help in difficult scenarios such as crowded environments (face and iris recognition or other biometrics), and longer range imagery through turbulent atmospheres. Improved handover techniques from TV imaging will reduce the burden placed on local sensors.

This conference provides a forum for researchers, product and system engineers and military and government officials to present and discuss the latest developments in optically-based sensor and diagnostic technologies and their applications. Original papers are sought on, but not restricted to, the following topics:

  • detection and identification of CBRNE materials
  • spectroscopy, Raman/LIBS and multi-spectral imaging
  • sensor modelling, algorithms for sensor signal and data processing
  • computer vision and image/video content analysis
  • person and object detection and tracking
  • big data analysis and deep learning
  • Internet of Things (IoT), wearable, micro-/nanosensors
  • autonomous sensors and mobile robots
  • action recognition and behavior analysis in video imagery
  • forensic and surveillance sensors and systems
  • biometrics, security screening and systems for border security
  • document security, document verification, watermarking, fingerprinting, RFID tags
  • techniques for long-range and wide-area sensing and surveillance.
  • Conference Committee
    Conference Chairs
    Program Committee
    • Maria Andersson, FOI-Swedish Defence Research Agency (Sweden)
    • Stefan Becker, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
    • Felicity Carlysle-Davies, Univ. of Strathclyde (United Kingdom)
    • Brian E. Foulger, Ministry of Defence (United Kingdom)
    • Gennadii E. Kotkovskii, National Research Nuclear Univ. MEPhI (Russian Federation)

    Program Committee continued...
    • Gillian F. Marshall, QinetiQ Ltd. (United Kingdom)
    • David Muench, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
    • Niamh Nic Daeid, Univ. of Dundee (United Kingdom)
    • Salman Rosenwaks, Ben-Gurion Univ. of the Negev (Israel)
    • Andre Samberg, Estonian Academy of Security Sciences (Estonia)
    • Neil C. Shand, Defence Science and Technology Lab. (United Kingdom)
    • Berkan Solmaz, ASELSAN A.S. (Turkey)
    • Piotr Szynkarczyk, Industrial Research Institute for Automation and Measurements (Poland)
    • Paul A. Thomas, Defence Science and Technology Lab. (United Kingdom)

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