Detection of Thin Lines using Low-Quality Video from Low-Altitude Aircraft in Urban Settings

A novel thin line detection algorithm for use in low-altitude aerial vehicles is presented. This algorithm is able to detect thin obstacles such as cables, power lines, and wires. The system is intended to be used during urban search and rescue operations, capable of dealing with low-quality images,...

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Vydané v:IEEE transactions on aerospace and electronic systems Ročník 45; číslo 3; s. 937 - 949
Hlavní autori: Candamo, J., Kasturi, R., Goldgof, D., Sarkar, S.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.07.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Aircraft
Algorithms
Cables
Detection algorithms
Hough transforms
Image edge detection
Image sensors
Obstacles
Robustness
Searching
Sensor phenomena and characterization
Sensor systems
Vehicles
Wire
Wires
ISSN:0018-9251, 1557-9603
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Popis
Shrnutí:A novel thin line detection algorithm for use in low-altitude aerial vehicles is presented. This algorithm is able to detect thin obstacles such as cables, power lines, and wires. The system is intended to be used during urban search and rescue operations, capable of dealing with low-quality images, robust to image clutter, bad weather, and sensor artifacts. The detection process uses motion estimation at the pixel level, combined with edge detection, followed by a windowed Hough transform. The evidence of lines is tracked over time in the resulting parameter spaces using a dynamic line movement model. The algorithm's receiver operating characteristic curve (ROC) is shown, based on a multi-site dataset with 86 videos with 10160 wires spanning in 5576 frames.
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ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2009.5259175