Hard-to-see targets are generally only detected by human observers once they have been fixated. Hence, understanding how the human visual system allocates fixation locations is necessary for predicting target detectability. Visual search experiments were conducted where observers searched for military vehicles in cluttered terrain. Instantaneous eye position measurements were collected using an eye tracker. The resulting data was partitioned into fixations and saccades, and analyzed for correlation with various image properties. The fixation data was used to validate our model for predicting fixation locations. This model generates a saliency map from bottom-up image features, such as local contrast. To account for top-down scene understanding effects, a separate cognitive bias map is generated. The combination of these two maps provides a fixation probability map, from which sequences of fixation points were generated.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis and modeling of fixation point selection for visual search in cluttered backgrounds


    Contributors:
    Snorrason, M. (author) / Hoffman, J. (author) / Ruda, H. (author)


    Publication date :

    2000


    Size :

    11 Seiten, 10 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Modeling cognitive effects on visual search for targets in cluttered backgrounds [3375-11]

    Snorrason, M. / Ruda, H. / Hoffman, J. et al. | British Library Conference Proceedings | 1998


    Hyperspectral Target Detection in Cluttered Backgrounds

    Skauli, T. / Kasen, I. / Haavardsholm, T. V. et al. | British Library Conference Proceedings | 2005


    Real-time viewpoint-invariant hand localization with cluttered backgrounds

    Sangineto, E. / Cupelli, M. | British Library Online Contents | 2012


    Computer-augmented detection of targets in cluttered and low-contrast backgrounds

    Korn, A. / Muller, M. / Sung, C.K. | Tema Archive | 1997


    A Comparison of Measures for Detecting Natural Shapes in Cluttered Backgrounds

    Williams, L. R. / Thornber, K. K. | British Library Online Contents | 1999