A camera mounted on an aerial vehicle provides an excellent means for monitoring large areas of a scene. Utilizing several such cameras on different aerial vehicles allows further flexibility, in terms of increased visual scope and in the pursuit of multiple targets. In this paper, we address the problem of tracking objects across multiple moving airborne cameras. Since the cameras are moving and often widely separated, direct appearance-based or proximity-based constraints cannot be used. Instead, we exploit geometric constraints on the relationship between the motions of each object across cameras, to test multiple correspondence hypotheses, without assuming any prior calibration information. We propose a statistically and geometrically meaningful means of evaluating a hypothesized correspondence between two observations in different cameras. Second, since multiple cameras exist, ensuring coherency in correspondence, i.e. transitive closure is maintained between more than two cameras, is an essential requirement. To ensure such coherency we pose the problem of object tracking across cameras as a k-dimensional matching and use an approximation to find the maximum likelihood assignment of correspondence. Third, we show that as a result of tracking objects across the cameras, a concurrent visualization of multiple aerial video streams is possible. Results are shown on a number of real and controlled scenarios with multiple objects observed by multiple cameras, validating our qualitative models.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Object tracking across multiple independently moving airborne cameras


    Beteiligte:
    Yaser Sheikh, (Autor:in) / Mubarak Shah, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    505564 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Object Tracking across Multiple Independently Moving Aerial Cameras

    Sheikh, Y. / Shah, M. / IEEE | British Library Conference Proceedings | 2005


    Tracking across multiple cameras with disjoint views

    Javed, / Rasheed, / Shafique, et al. | IEEE | 2003


    Tracking across Multiple Cameras with Disjoint Views

    Javed, O. / Rasheed, Z. / Shafique, K. et al. | British Library Conference Proceedings | 2003


    Continuously Tracking Objects Across Multiple Widely Separated Cameras

    Cai, Yinghao / Chen, Wei / Huang, Kaiqi et al. | Springer Verlag | 2007


    Persistent Objects Tracking Across Multiple Non Overlapping Cameras

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