CONDITION ASSESSMENT OF RAIL TRACK BASED ON TRAIN-BORNE VIDEO ANALYSIS

摘要

Train-borne video captured from the camera installed in the front or back of the train has been used for railway environment surveillance,including missing communication units and bolts on the track,broken fences,unpredictable objects falling into the rail area or hanging on wires on the top of rails.Moreover,the track condition can be perceived visually from the video by observing and analyzing the train-swaying arising from the track irregularity.However,it's a time-consuming and labor-intensive work to examine the whole video up to dozens of hours.In this paper,we proposed a simple and effective method to detect the train-swaying quickly and automatically.We first generate the long rail track panorama (RTP) by stitching the stripes cut from the video frames,and then extract track profile from the panorama.The experimental results show the unevenness of the rail track profile owes to the track irregularity,which can assess the condition of rail track intuitively.