Fast vanishing point estimation based on particle swarm optimization

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Vanishing point estimation is an important issue for vision based road detection, especially in unstructured roads. However, most of the existing methods suffer from the long calculating time. This paper focuses on improving the efficiency of vanishing point estimation by using a heuristic voting method based on particle swarm optimization (PSO). Experiments prove that with our proposed method, the efficiency of vanishing point estimation is significantly improved with almost no loss in accuracy. Moreover, for sequenced images, this method is further improved and can get even better performance, by making full use of inter-frame information to optimize the performance of PSO.

Original languageEnglish
Pages (from-to)505-513
Number of pages9
JournalIEICE Transactions on Information and Systems
VolumeE99D
Issue number2
DOIs
Publication statusPublished - 2016 Feb 1

Fingerprint

Particle swarm optimization (PSO)
Experiments

Keywords

  • Interframe information
  • Particle swarm optimization
  • Vanishing point estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Software
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

Cite this

Fast vanishing point estimation based on particle swarm optimization. / Pan, Xun; Si, Wa; Ogai, Harutoshi.

In: IEICE Transactions on Information and Systems, Vol. E99D, No. 2, 01.02.2016, p. 505-513.

Research output: Contribution to journalArticle

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