Computer Science ›› 2018, Vol. 45 ›› Issue (7): 226-229.doi: 10.11896/j.issn.1002-137X.2018.07.039

• Graphics, Image & Pattem Recognition • Previous Articles     Next Articles

Estimation of FOE for Railway Video Sequences

HU Yan-hua ,TANG Peng ,JIN Wei-dong, HE Zheng-wei   

  1. College of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China
  • Received:2017-05-04 Online:2018-07-30 Published:2018-07-30

Abstract: In the rail transit of the structured scene,due to the movement of camera,the objects in the image captured by the on-board camera will spread around the center of this image,which is called FOE (Focus of Expansion).In view of the current technology based on FOE,which is sensitive to noise and has a large amount of computation,it can not accurately calculate the FOE in the railway scene.This paper presented a method for estimating the FOE of railway video sequences.This method uses the Pyramid optical flow method to track and coarsely match the detected Harris corner points,and makes accurately matching with RANSAC algorithm based on the computation of fundamental matrix.Then the epipolar lines are extracted in the image,and the FOE is obtained at last.The experimental results show that the FOE error of this algorithm is smaller than that of the Hough line,and the proposed algorithm is suitable for real-time application.

Key words: Epipolar harness, FOE, Fundamental matrix, Pyramid flow algorithm, RANSAC algorithm

CLC Number: 

  • U283.1
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