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10 May 2012Road detection and buried object detection in elevated EO/IR imagery
To assist the warfighter in visually identifying potentially dangerous roadside objects, the U.S. Army RDECOM
CERDEC Night Vision and Electronic Sensors Directorate (NVESD) has developed an elevated video sensor system
testbed for data collection. This system provides color and mid-wave infrared (MWIR) imagery. Signal Innovations
Group (SIG) has developed an automated processing capability that detects the road within the sensor field of view and
identifies potentially threatening buried objects within the detected road. The road detection algorithm leverages system
metadata to project the collected imagery onto a flat ground plane, allowing for more accurate detection of the road as
well as the direct specification of realistic physical constraints in the shape of the detected road. Once the road has been
detected in an image frame, a buried object detection algorithm is applied to search for threatening objects within the
detected road space. The buried object detection algorithm leverages textural and pixel intensity-based features to detect
potential anomalies and then classifies them as threatening or non-threatening objects. Both the road detection and the
buried object detection algorithms have been developed to facilitate their implementation in real-time in the NVESD
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Levi Kennedy, Mark P. Kolba, Joshua R. Walters, "Road detection and buried object detection in elevated EO/IR imagery," Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83570S (10 May 2012);