Experiments in tripwire detection using visible and near-IR imagery

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

doi:10.1117/12.544332

21 September 2004 Experiments in tripwire detection using visible and near-IR imagery

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

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.544332
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Robert Luke, James M. Keller, Paul D. Gader, Marjorie Skubic, and 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); https://doi.org/10.1117/12.544332

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available