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

Yingdi Xie, Jun Ohya

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
    Pages31-36
    Number of pages6
    Publication statusPublished - 2007
    Event2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008 - Clearwater, FL
    Duration: 2007 Jan 32007 Jan 5

    Other

    Other2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008
    CityClearwater, FL
    Period07/1/307/1/5

    Fingerprint

    Stereo vision
    Optical flows

    Keywords

    • Modified RANSAC
    • Motion segmentation

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition

    Cite this

    Xie, Y., & Ohya, J. (2007). Efficient multiple independent motion segmentation from an active platform by utilizing modified RANSAC. In Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007 (pp. 31-36)

    Efficient multiple independent motion segmentation from an active platform by utilizing modified RANSAC. / Xie, Yingdi; Ohya, Jun.

    Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. 2007. p. 31-36.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Xie, Y & Ohya, J 2007, Efficient multiple independent motion segmentation from an active platform by utilizing modified RANSAC. in Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. pp. 31-36, 2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008, Clearwater, FL, 07/1/3.
    Xie Y, Ohya J. Efficient multiple independent motion segmentation from an active platform by utilizing modified RANSAC. In Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. 2007. p. 31-36
    Xie, Yingdi ; Ohya, Jun. / Efficient multiple independent motion segmentation from an active platform by utilizing modified RANSAC. Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. 2007. pp. 31-36
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