Surveillance system of power transmission line via object recognition and 3D vision computation

Yuanxin Zhang; Xuanqin Mou

doi:10.1117/12.2041412

7 March 2014 Surveillance system of power transmission line via object recognition and 3D vision computation

Yuanxin Zhang, Xuanqin Mou

Proceedings Volume 9023, Digital Photography X; 90230S (2014) https://doi.org/10.1117/12.2041412
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

Surveillance systems have been widely applied on power transmission system for security precaution of the major risk factor that is the construction activity in the vicinity of power transmission line. However, currently used automatic object detection in surveillance systems suffers from high error rate and has at least two limitations: first, the type of the object can’t be recognized; second, the dangerous strength of the object cannot be identified. In this paper, we propose a video surveillance method for the security precaution of power transmission line via the techniques of object recognition and 3D spatial location detection so that the motion objects are recognized and the position and size of the object are determined to identify the dangerous strength. Experimental results show that the developed system based on our proposed method is feasible and practical.

Citation Download Citation

Yuanxin Zhang and Xuanqin Mou "Surveillance system of power transmission line via object recognition and 3D vision computation", Proc. SPIE 9023, Digital Photography X, 90230S (7 March 2014); https://doi.org/10.1117/12.2041412

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