Automatic road segmentation of traffic images

Chiung-Yao Fang, Han Ping Chou, Jung Ming Wang, Sei-Wang Chen

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Automatic road segmentation plays an important role in many vision-based traffic applications. It provides a priori information for preventing the interferences of irrelevant objects, activities, and events that take place outside road areas. The proposed road segmentation method consists of four major steps: background-shadow model generation and updating, moving object detection and tracking, background pasting, and road location. The full road surface is finally recovered from the preliminary one using a progressive fuzzytheoretic shadowed sets technique. A large number of video sequences of traffic scenes under various conditions have been employed to demonstrate the feasibility of the proposed road segmentation method.

原文英語
主出版物標題VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
編輯Jose Braz, Sebastiano Battiato, Francisco Imai
發行者SciTePress
頁面469-477
頁數9
ISBN(電子)9789897580901
DOIs
出版狀態已發佈 - 2015
事件10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, 德国
持續時間: 2015 三月 112015 三月 14

出版系列

名字VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
2

其他

其他10th International Conference on Computer Vision Theory and Applications, VISAPP 2015
國家/地區德国
城市Berlin
期間2015/03/112015/03/14

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別

指紋

深入研究「Automatic road segmentation of traffic images」主題。共同形成了獨特的指紋。

引用此