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30 October 2007 The advanced linked extended reconnaissance and targeting technology demonstration project
James Cruickshank, Yves de Villers, Jean Maheux, Mark Edwards, David Gains, Terry Rea, Simon Banbury, Michelle Gauthier
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Proceedings Volume 6796, Photonics North 2007; 67962E (2007) https://doi.org/10.1117/12.779220
Event: Photonics North 2007, 2007, Ottawa, Canada
Abstract
The Advanced Linked Extended Reconnaissance & Targeting (ALERT) Technology Demonstration (TD) project is addressing key operational needs of the future Canadian Army's Surveillance and Reconnaissance forces by fusing multi-sensor and tactical data, developing automated processes, and integrating beyond line-of-sight sensing. We discuss concepts for displaying and fusing multi-sensor and tactical data within an Enhanced Operator Control Station (EOCS). The sensor data can originate from the Coyote's own visible-band and IR cameras, laser rangefinder, and ground-surveillance radar, as well as beyond line-of-sight systems such as a mini-UAV and unattended ground sensors. The authors address technical issues associated with the use of fully digital IR and day video cameras and discuss video-rate image processing developed to assist the operator to recognize poorly visible targets. Automatic target detection and recognition algorithms processing both IR and visible-band images have been investigated to draw the operator's attention to possible targets. The machine generated information display requirements are presented with the human factors engineering aspects of the user interface in this complex environment, with a view to establishing user trust in the automation. The paper concludes with a summary of achievements to date and steps to project completion.
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James Cruickshank, Yves de Villers, Jean Maheux, Mark Edwards, David Gains, Terry Rea, Simon Banbury, and Michelle Gauthier "The advanced linked extended reconnaissance and targeting technology demonstration project", Proc. SPIE 6796, Photonics North 2007, 67962E (30 October 2007); https://doi.org/10.1117/12.779220
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KEYWORDS
Video
Target detection
Sensors
Video surveillance
Surveillance
Detection and tracking algorithms
Cameras
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