Title :
Power line recognition and tracking method for UAVs inspection
Author :
Feng Tian;Yaping Wang;Linlin Zhu
Author_Institution :
Department of Automation, Shenyang Aerospace University, Liaoning Province, China
Abstract :
Automatic power line recognition is a challenging task for an unmanned aerial vehicles (UAVs) power line inspection system. In this paper we proposed a power line recognition and tracking method for sequence aerial images. First, the power lines are enhanced by a kind of double-side filters; then, the Hough transform with parallel constraint is used for power lines recognition; finally, in the sequence image, the state of power lines are estimated, and the power lines are tracked with those estimation. The tracking could reduce the computation time and made the recognition robust. Our experiments on real image data captured from UAV demonstrate our method is effective for power line recognition in sequence image.
Keywords :
"Target recognition","Power transmission lines","Transforms","Inspection","Image edge detection","Maximum likelihood detection"
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
DOI :
10.1109/ICInfA.2015.7279641