@inproceedings{522a962b93c34be2bb8fbc06ddc814e0,
title = "Surveillance system of power transmission line via object recognition and 3D vision computation",
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{\texttrademark}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.",
keywords = "3D vision computation, object recognition, power transmission line, security precaution, surveillance system",
author = "Yuanxin Zhang and Xuanqin Mou",
year = "2014",
doi = "10.1117/12.2041412",
language = "英语",
isbn = "9780819499400",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Digital Photography X",
note = "Digital Photography X ; Conference date: 03-02-2014 Through 05-02-2014",
}