Obstacle Identification on Railway Tracks IJTSRD


We propose a method for detecting obstacles by comparing input and reference train frontal view camera images. In the field of obstacle detection, most methods employ a machine learning approach, so they can only detect pre-trained classes, such as pedestrian, bicycle, etc. Those obstacles of unknown classes cannot be detected. To overcome this problem, a background subtraction method was proposed that can be applied to moving cameras. First, the proposed method computes frame-by-frame correspondences between the current and the reference image sequences. Then, obstacles are detected by applying image subtraction to corresponding frames. To confirm the effectiveness of the proposed method, we conducted an experiment using several image sequences captured on an experimental track. Its results showed that the proposed method could detect various obstacles accurately and effectively.

Kiruba. J. Amanda”Obstacle Identification on Railway Tracks”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18226.pdf

http://www.ijtsrd.com/engineering/computer-engineering/18226/obstacle-identification-on-railway-tracks/kiruba-j-amanda

call for paper Computer Engineering, international journal Mechanical Engineering, ugc approved journals for engineering




Obstacle Identification on Railway Tracks IJTSRD IEEE PAPER





2020 technology trends
2019-TOP-TECHNOLOGIES
2019 papers
2018-TOP-TECHNOLOGIES
2018 papers

IEEE PROJECTS 2019


IEEE PROJECTS CSE 2019
IEEE PROJECTS ECE 2019
IEEE PROJECTS EEE 2019
IEEE PROJECTS VLSI
IEEE PROJECTS EMBEDDED SYSTEM

IEEE PROJECTS


IEEE PROJECTS ECE
IEEE PROJECTS CSE COMPUTER SCIENCE
IEEE PROJECTS ELECTRICAL ENGINEERING
IEEE PROJECTS EEE

IEEE PROJECTS