Detection of bird nests in overhead catenary system images for high-speed rail
作者：
Highlights：
• The first work to systematically analyze the properties of bird nests in OCS images.
• The first work to automatically detect the bird nest for high-speed rail system.
• A five-phase framework is novelly proposed to detect the bird nest.
• HOS and HLS histograms are proposed to represent the distributions of streaks.
• Experiments on real high-speed rail lines demonstrate the effectiveness.
摘要
•The first work to systematically analyze the properties of bird nests in OCS images.•The first work to automatically detect the bird nest for high-speed rail system.•A five-phase framework is novelly proposed to detect the bird nest.•HOS and HLS histograms are proposed to represent the distributions of streaks.•Experiments on real high-speed rail lines demonstrate the effectiveness.
论文关键词：Bird nest detection,Image classification,Overhead catenary system,High-speed rail,Intelligent transportation system
论文评审过程：Received 5 September 2014, Revised 13 June 2015, Accepted 13 September 2015, Available online 28 September 2015, Version of Record 27 November 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.09.010
