DocumentCode :
1351775
Title :
Aerial inspection of overhead power lines using video: estimation of image blurring due to vehicle and camera motion
Author :
Jones, D.I.
Author_Institution :
Sch. of Inf., Univ. of Wales, Bangor, UK
Volume :
147
Issue :
2
fYear :
2000
fDate :
4/1/2000 12:00:00 AM
Firstpage :
157
Lastpage :
166
Abstract :
One of the principal difficulties of video inspection of overhead power distribution lines from a helicopter is the blurring of the image due to rotation of the camera in its gimbals and the translational motion of the helicopter. The author presents a kinematic model describing the sightline geometry which includes the effect of the helicopter´s rectilinear motion in three degrees of freedom. It is shown that, except for locations very near to the object being inspected the velocity flow field of the image is substantially uniform. The image Jacobian is used to predict how much blur is to be expected along a typical flight path during inspection operations. An important conclusion is that this will be greater than the tolerable limit of 1-2% unless the camera is rotated at a rate which compensates for the helicopter´s rectilinear motion the implications for the design of an automated object tracking system are discussed. The maximum singular value of the image Jacobian is proposed as a quality measure for inspection from various locations of the helicopter relative to the target object. It is found to be an useful figure of relative merit but too conservative to provide a realistic upper bound on image blur
Keywords :
Jacobian matrices; helicopters; inspection; motion estimation; power overhead lines; surveillance; video cameras; video signal processing; aerial inspection; automated object tracking system; camera motion; helicopter; image Jacobian; image blurring estimation; kinematic model; maximum singular value; overhead power lines; quality measure; rectilinear motion; sightline geometry; vehicle motion; velocity flow field; video inspection;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20000226
Filename :
848578
Link To Document :
بازگشت