Efficient multiple independent motion segmentation from an active platform by utilizing modified RANSAC

Yingdi Xie*, Jun Ohya

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, an efficient approach to segmentation of different independent motion areas from a moving platform is described. This approach is implemented on a stereo vision system, depth information could be computed by matching feature points between stereo images. For two consecutive frames, ego-motion is estimated from the optical flows, including depth information belonging to the background, which has a larger space distribution comparing to those of independent moving objects. In order to distinguish different motion areas, we proposed a modified version of RANSAC mechanism, which could handle the problem of multiple model extraction in a noisy environment.

本文言語English
ホスト出版物のタイトルProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
ページ31-36
ページ数6
出版ステータスPublished - 2007 12月 1
イベント2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008 - Clearwater, FL, United States
継続期間: 2007 1月 32007 1月 5

出版物シリーズ

名前Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007

Conference

Conference2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008
国/地域United States
CityClearwater, FL
Period07/1/307/1/5

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ ビジョンおよびパターン認識

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