We introduce the concept of a spatiogram, which is a generalization of a histogram that includes potentially higher order moments. A histogram is a zeroth-order spatiogram, while second-order spatiograms contain spatial means and covariances for each histogram bin. This spatial information still allows quite general transformations, as in a histogram, but captures a richer description of the target to increase robustness in tracking. We show how to use spatiograms in kernel-based trackers, deriving a mean shift procedure in which individual pixels vote not only for the amount of shift but also for its direction. Experiments show improved tracking results compared with histograms, using both mean shift and exhaustive local search.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Spatiograms versus histograms for region-based tracking


    Contributors:


    Publication date :

    2005-01-01


    Size :

    233704 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Signatures versus histograms: Definitions, distances and algorithms

    Serratosa, Francesc / Sanfeliu, Alberto | BASE | 2006

    Free access

    Fast tracking using edge histograms [3028-11]

    Rokita, P. / SPIE / Society for Imaging Science and Technology | British Library Conference Proceedings | 1997


    Online visual tracking with histograms and articulating blocks

    Nejhum, S. M. / Ho, J. / Yang, M. H. | British Library Online Contents | 2010


    Mean Shift tracking with multiple reference color histograms

    Leichter, I. / Lindenbaum, M. / Rivlin, E. | British Library Online Contents | 2010


    Multidimensional histograms

    Jayroe, R. R., Jr. | NTRS | 1979