Change-based threat detection in urban environments with a forward-looking camera

Kenneth Morton, Christopher Ratto, Jordan Malof, Michael Gunter, Leslie Collins, Peter Torrione

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Roadside explosive threats continue to pose a significant risk to soldiers and civilians in conflict areas around the world. These objects are easy to manufacture and procure, but due to their ad hoc nature, they are difficult to reliably detect using standard sensing technologies. Although large roadside explosive hazards may be difficult to conceal in rural environments, urban settings provide a much more complicated background where seemingly innocuous objects (e.g., piles of trash, roadside debris) may be used to obscure threats. Since direct detection of all innocuous objects would flag too many objects to be of use, techniques must be employed to reduce the number of alarms generated and highlight only a limited subset of possibly threatening regions for the user. In this work, change detection techniques are used to reduce false alarm rates and increase detection capabilities for possible threat identification in urban environments. The proposed model leverages data from multiple video streams collected over the same regions by first applying video aligning and then using various distance metrics to detect changes based on image keypoints in the video streams. Data collected at an urban warfare simulation range at an Eastern US test site was used to evaluate the proposed approach, and significant reductions in false alarm rates compared to simpler techniques are illustrated.

Original languageEnglish
Title of host publicationDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
PublisherSPIE
ISBN (Print)9780819490353
DOIs
StatePublished - 2012
EventDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII - Baltimore, MD, United States
Duration: Apr 23 2012Apr 27 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8357
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
Country/TerritoryUnited States
CityBaltimore, MD
Period04/23/1204/27/12

Keywords

  • Change detection
  • Forward looking
  • Video processing

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