A new approach to the extraction of the contour of a moving object is presented. The method is based on the integration of a motion segmentation technique using image substraction and a color segmentation technique based on the split-and-merge algorithm. The advantages of this method are: it can detect large moving objects and extract their boundaries; the background can be arbitrarily complicated and contain many non-moving objects occluded by the moving object; and it requires only three image frames that need not be consecutive, provided that the object is entirely contained in each of the three frames. The method is applied to a large number of color images of vehicles moving on a road and a highway ramp. The results are promising. The moving object boundaries are correctly extracted in 66 out of 73 test image sequences. The authors describe how this contour can be used as an input to a recognition system that classifies the vehicles into five generic categories. Of the 73 vehicles, 67 are correctly classified.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Object contour extraction using color and motion


    Beteiligte:
    Dubuisson, M.-P. (Autor:in) / Jain, A.K. (Autor:in)


    Erscheinungsdatum :

    01.01.1993


    Format / Umfang :

    570198 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Object Contour Extraction Using Adaptive B-Snake Model

    Wang, Y. / Teoh, E. K. | British Library Online Contents | 2006


    Object-level structured contour map extraction

    Bergevin, R. / Bubel, A. | British Library Online Contents | 2003


    Object contour extraction based on image feature analysis

    Wang, Tian / Zou, Zilong / Qiao, Meina | British Library Online Contents | 2016