We present a new adaptive technique for segmenting a sequence of images and tracking the moving objects contained therein. The algorithm is illustrated on a biomedical problem, namely, the tracking of a group of fibroblast (tissue) cells whose motion is induced by an external electric field using phase contrast micrographs. Because of their proximity to one another and their motion characteristics, in addition to the nature of the images, the objects cannot be segmented accurately: they appear to merge/overlap and split. An adaptive fine segmentation technique, which can handle large objects that "appear" to have merged or split, is presented. The combined segmentation/tracking is formulated as a global optimization problem where the merging/splitting and the motion characteristics of the objects determine the final results. The motion parameters of the objects are estimated using a multiassignment algorithm (a scheme that associates segmented regions to tracks) combined with a modified version of a tracking filter (motion estimator), known as the probabilistic data association filter. Analytical expressions quantifying the accuracy of the segmentation scheme are also presented. The technique is also applicable to tracking people, ground vehicles and ballistic missiles, where the targets can be closely-spaced.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Combined segmentation and tracking of overlapping objects with feedback


    Beteiligte:
    Kirubarajan, T. (Autor:in) / Bar-Shalom, Y. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    779345 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Combined Segmentation and Tracking of Overlapping Objects with Feedback

    Kirubarajan, T. / Bar-Shalom, Y. / IEEE Computer Society | British Library Conference Proceedings | 2001


    Persistent Objects Tracking Across Multiple Non Overlapping Cameras

    Kang, Jinman / Cohen, Isaac / Medioni, Gerard | IEEE | 2005


    Motion-based segmentation of objects using overlapping temporal windows

    Dimitriou, N. / Delopoulos, A. | British Library Online Contents | 2013



    Route tracking overlapping geofences

    NANDA SACHAL / MCGEE SEAN / WU ALEX et al. | Europäisches Patentamt | 2024

    Freier Zugriff