A Vision-Based System for Power Transmission Facilities Detection

In this paper, we present the design and implementation of a vision system for power transmission facilities detection based on UAV videos. The vision system consists of two main parts, the client part and the server part. The aim of the system is to detect the power transmission facilities in complex background. In order to achieve this aim, several novel methods are proposed for detecting the power transmission facilities which include the power line, the power tower, and the insulator. The experiment results on real image data demonstrate that the proposed methods are accurate and effective. The system is presented to demonstrate the performance of the detection methods.

[1]  Jonathan Kofman,et al.  Teleoperation of a robot manipulator using a vision-based human-robot interface , 2005, IEEE Transactions on Industrial Electronics.

[2]  Allison M. Okamura,et al.  Methods for haptic feedback in teleoperated robot-assisted surgery , 2004 .

[3]  Jinhai Cai,et al.  Knowledge-based power line detection for UAV surveillance and inspection systems , 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.

[4]  Rafael Grompone von Gioi,et al.  LSD: a Line Segment Detector , 2012, Image Process. Line.

[5]  Rafael Grompone von Gioi,et al.  LSD: A Fast Line Segment Detector with a False Detection Control , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Kin-Man Lam,et al.  Facial expression recognition based on shape and texture , 2009, Pattern Recognit..

[7]  Panos E. Trahanias,et al.  Binary shape recognition using the morphological skeleton transform , 1992, Pattern Recognit..

[8]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[9]  Johan A. K. Suykens,et al.  Support Vector Machines: A Nonlinear Modelling and Control Perspective , 2001, Eur. J. Control.

[10]  Chengjun Liu,et al.  Fusion of color, local spatial and global frequency information for face recognition , 2010, Pattern Recognit..

[11]  Jing Zhongliang.  A Forward-looking Runway Recognition Algorithm Based on Improved Hough Transform , 2004 .

[12]  Bingfeng Li,et al.  A Method of Insulator Detection from Video Sequence , 2012, 2012 Fourth International Symposium on Information Science and Engineering.

[13]  Warren E. Dixon,et al.  Object tracking by a robot manipulator: a robust cooperative visual servoing approach , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).