Title :
Automatic detection of electricity pylons in aerial video sequences
Author :
Tilawat, Jittichat ; Theera-Umpon, Nipon ; Auephanwiriyakul, Sansanee
Author_Institution :
Dept. of Electr. Eng., Chiang Mai Univ., Chiang Mai, Thailand
Abstract :
Automatic power transmission line inspection with aerial video surveillance requires that the vehicle-mounted camera can automatically locate electricity pylons. In this paper, a new approach for locating electricity pylons within video sequences is proposed. Straight lines in each video frame are extracted with a two-dimensional separable infinite impulse response (IIR) filter and the Hough transformation. A technique for selection of lines representing the electricity pylons is also proposed. The experimental results from a set of real-world video images are shown in term of the receiver operating characteristic (ROC) curve to verify the algorithm´s detection performance. The ROC curve shows that the proposed algorithm performs very well and can very much help in the automatic electricity pylon detection system.
Keywords :
Hough transforms; IIR filters; image sequences; poles and towers; power transmission lines; power transmission protection; sensitivity analysis; video cameras; video surveillance; Hough transformation; aerial video surveillance; automatic detection; automatic power transmission line inspection; electricity pylons; real world video image; receiver operating characteristic curve; two dimensional separable infinite impulse response filter; vehicle mounted camera; video frame; video sequence; Cameras; Detection algorithms; Electricity; IIR filters; Pixel; Poles and towers; Video sequences; APS; aerial patrol system; aerial video surveillance; electricity pylon detection; line detection;
Conference_Titel :
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7679-4
Electronic_ISBN :
978-1-4244-7681-7
DOI :
10.1109/ICEIE.2010.5559863