Change detection for detecting potential threats in forward-looking video and downward-looking ground-penetrating radar data

Peter Torrione; Kenneth Morton Jr.; Christopher Ratto; Michael Gunter; Leslie Collins

doi:10.1117/12.884122

23 May 2011 Change detection for detecting potential threats in forward-looking video and downward-looking ground-penetrating radar data

Peter Torrione, Kenneth Morton Jr., Christopher Ratto, Michael Gunter, Leslie Collins

Author Affiliations +

Proceedings Volume 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI; 801721 (2011) https://doi.org/10.1117/12.884122
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Forward looking video can provide a large amount of tactically-relevant information to vehicle operators regarding roadside explosive threats. However it is difficult for vehicle operators to keep track of what roadside objects have changed since their last excursion, or what new objects have appeared on a road and might therefore contain an explosive threat. Furthermore, the large amount of data generated by forward looking video can overwhelm users. It would be of benefit to vehicle operators if only objects that had significantly changed since a recent excursion were flagged and presented to the user. In this work we develop techniques for video and ground-penetrating radar (GPR) tracking and aligning, and novel-object identification for application in route clearance patrols. We focus on aligning video data collected using vehicle mounted forward-looking video cameras and downward-looking GPR using locallyinvariant feature transforms and set-based distance metrics. Based on these aligned image streams, we then apply pattern classification approaches to discriminate new explosive threats from stationary and persistent objects. The techniques described in this work are widely applicable to other forward and downward-looking sensor systems, and are computationally tractable. The results indicate the potential to robustly identify recently changed roadside threats, and to present a significantly reduced amount of information to end-users for further operational analysis.

Citation Download Citation

Peter Torrione, Kenneth Morton Jr., Christopher Ratto, Michael Gunter, and Leslie Collins "Change detection for detecting potential threats in forward-looking video and downward-looking ground-penetrating radar data", Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 801721 (23 May 2011); https://doi.org/10.1117/12.884122

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