Experiments in tripwire detection using visible and near IR imagery

Robert Luke*, James M. Keller, Paul D. Gader, Marjorie Skubic, Tsaipei Wang

*Corresponding author for this work

Research output: Contribution to journalConference article

4 Scopus citations


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.

Original languageEnglish
Pages (from-to)754-762
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue numberPART 2
StatePublished - 20 Dec 2004
EventDetection and Remediation Technologies for Mines and Minelike Targets IX - Orlando, FL, United States
Duration: 12 Apr 200416 Apr 2004


  • Fuzzy logic
  • Hough transform
  • Temporal processing
  • Tripwire detection

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