Fast Vanishing Point Estimation Based on Particle Swarm Optimization

• PAN Xun

  Graduate School of Information, Production and Systems, Waseda University

• SI Wa

  Graduate School of Information, Production and Systems, Waseda University

• OGAI Harutoshi

  Graduate School of Information, Production and Systems, Waseda University

抄録

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.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E99.D (2), 505-513, 2016

  一般社団法人 電子情報通信学会

キーワード

• vanishing point estimation
• particle swarm optimization
• inter-frame information

詳細情報

• CRID: 1390001204378909312
• NII論文ID: 130005122011
• DOI: 10.1587/transinf.2015edp7326
• ISSN: 17451361
• ISSN: 09168532
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E99.D/2/E99.D_2015EDP7326/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可