Dense Estimation of Motion and Appearance



Separating images into background/ foreground layers and estimating.
Top row: (1) Image sequence, (2) foreground appearance, (3) foreground ownership weight, (4) foreground mixing probability, Bottom row: (1) Horizontal and (2) vertical motion components for foreground layer. (3) Horizontal and (4) vertical motion components found by Black&Anandan approach,



Separating images into background/ foreground layers and estimating.
Top row: (1) Image sequence, (2) foreground appearance, (3) foreground ownership weight, (4) foreground mixing probability, Bottom row: (1) Horizontal and (2) vertical motion components for foreground layer. (3) Horizontal and (4) vertical motion components found by Black&Anandan approach,





[Research]
        [Tracking Vehicles In Airborne Video Imagery]
        [Tracking Vehicles In Airborne Video Imagery]
        [Dense Motion and Appearance Estimation]
        [Implicitization by Matrix Annihilation]
        [Modeling and Measurement Using IPs]
        [Automated Sorting of Remote Controllers ]
        [Shape Assessment by Selective Fixations ]



Related Publications
  • Hulya Yalcin, Michael Black, Ronan Fablet,
    "The Dense Estimation of Motion and Appearance,"
    Second IEEE Workshop on Image and Video Registration (IVR'04) in conjunction with CVPR'04. [Abstract] [pdf]

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    Carnegie Mellon University, Robotics Institute
    5000 Forbes Av., Pittsburgh, PA, 15213
    hulyayalcin@gmail.com