In this paper we address the problem of visual surveillance, which we define as the problem of optimally extracting information from the visual scene with a fixating, foveated imaging system. We are explicitly concerned with eye/camera movement strategies that result in maximizing information extraction from the visual field. Here we demonstrate how a novel characterization of the contrast statistics of natural images can be used for selecting fixation points that minimize the total contrast uncertainty (entropy) of natural images. We demonstrate the performance of the algorithm and compare its performance to ground truth methods. The results show that our algorithm performs favorably in terms of both efficiency and its ability to find salient features in the image.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Natural contrast statistics and the selection of visual fixations


    Beteiligte:
    Raj, R.G. (Autor:in) / Geisler, W.S. (Autor:in) / Frazor, R.A. (Autor:in) / Bovik, A.C. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    325379 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Natural Contrast Statistics and the Selection of Visual Fixations

    Raj, R. G. / Geisler, W. S. / Frazor, R. A. et al. | British Library Conference Proceedings | 2005


    Famille de fixations temporaires et dispositif de pose de telles fixations

    PROT PHILIPPE / LUNEAU ETIENNE / GABILLON ALEXIS et al. | Europäisches Patentamt | 2019

    Freier Zugriff