21 September 2004 Experiments in tripwire detection using visible and near-IR imagery
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Abstract
Detection of tripwires is an active area of investigation. Researchers at the University of Missouri and the University of Florida are jointly pursuing numerous approaches to detect both the trip wires and the mines to which they are connected. In this paper, we discuss issues related to the detection of tripwires both on a frame-by frame basis and within image sequences. A large data collection was performed under various environmental conditions. Using algorithms that operate on visible and near infrared imagery, several metrics are explored to categorize tripwire detection performance. Currently, the detection algorithm utilizes the Hough transform to detect line-like structures and then scores these candidates to distinguish between wires and linear background objects. Adaptations to the Hough transform are discussed to add robustness and to decrease the computational load. Within the sequence analysis, emphasis is placed on the use of fuzzy logic rules to integrate over time. Results of several experiments in the outdoor settings are described and analyzed.
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Robert Luke, Robert Luke, James M. Keller, James M. Keller, Paul D. Gader, Paul D. Gader, Marjorie Skubic, Marjorie Skubic, Tsaipei Wang, Tsaipei Wang, } "Experiments in tripwire detection using visible and near-IR imagery", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.544332; https://doi.org/10.1117/12.544332
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