Gianfranco Doretto / Publications

Intelligent video based detection and tracking of suicide bombers at standoff distances

Krahnstoever, N., Sebastian, T., Doretto, G., Tu, P., and Mahony, M.
Intelligent video based detection and tracking of suicide bombers at standoff distances
In TSWG Explosives Detection Conference, Miami, FL, USA, June 12--16, 2006. (Abstract and poster)

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Abstract

Millimeter wave (MMW) imagers can be utilized very effectively for concealed weapons detection at standoff distances. However, from an operational perspective, the MMW imager only partially solves the problem of suicide bomber detection; significant operator interaction is currently required to track subjects, aim the imager and analyze images. Hence, we present a GE-developed auxiliary video-based system that introduces advanced targeting, detection and tracking capabilities that greatly improves the effectiveness of MMW threat detection systems. Our system has the following capabilities: - Since the MMW imager has to be accurately aimed at targets due to their narrow field of view, a video-based person detection system is used to automatically aim the MMW imager. - Person tracking algorithms are used to track individuals before and after threat detection, even in busy and crowded environments. - The captured MMW images are automatically analyzed with weapons detection algorithms. All of these video-based processes occur without human operator interaction. The talk will present a GE prototype system that is currently in operation at a GE test facility.

BibTeX

@Conference{krahnstoeverSDTM06TSWGabstract,
  Title                    = {Intelligent video based detection and tracking of suicide bombers at standoff distances},
  Author                   = {Krahnstoever, N. and Sebastian, T. and Doretto, G. and Tu, P. and Mahony, M.},
  Booktitle                = {TSWG Explosives Detection Conference},
  Year                     = {2006},
  Address                  = {Miami, FL, USA},
  Month                    = {June 12--16,},
  Note                     = {(Abstract and poster)},
  Organization             = {Combating Terrorism Technology Support Office, Technical Support Working Group},
  Abstract                 = {Millimeter wave (MMW) imagers can be utilized very effectively for concealed weapons detection at standoff distances. However, from an operational perspective, the MMW imager only partially solves the problem of suicide bomber detection; significant operator interaction is currently required to track subjects, aim the imager and analyze images. Hence, we present a GE-developed auxiliary video-based system that introduces advanced targeting, detection and tracking capabilities that greatly improves the effectiveness of MMW threat detection systems. Our system has the following capabilities: - Since the MMW imager has to be accurately aimed at targets due to their narrow field of view, a video-based person detection system is used to automatically aim the MMW imager. - Person tracking algorithms are used to track individuals before and after threat detection, even in busy and crowded environments. - The captured MMW images are automatically analyzed with weapons detection algorithms. All of these video-based processes occur without human operator interaction. The talk will present a GE prototype system that is currently in operation at a GE test facility.},
  Bib2html_pubtype         = {Other},
  Bib2html_rescat          = {Video Surveillance},
  File                     = {krahnstoeverSDTM06TSWGabstract.pdf:doretto\\poster\\krahnstoeverSDTM06TSWGabstract.pdf:PDF;krahnstoeverSDTM06TSWGabstract.pdf:doretto\\poster\\krahnstoeverSDTM06TSWGabstract.pdf:PDF},
  Owner                    = {doretto},
  Timestamp                = {2006.11.29}
}