Now showing items 1-3 of 3

  • Context-aware framework for analysis of horse-race videos

    Hedayati, Mohammad (The University of Waikato, 2018)
    Today sports analysis systems draw the attention of many commercial entities and are providing many opportunities for computer vision researchers to study and develop automated sports analysis systems. The primary objective ...
  • Effect of contextual information on object tracking

    Hedayati, Mohammad; Cree, Michael J.; Scott, Jonathan B. (IEEE, 2017)
    Local object information, such as the appearance and motion features of the object, are useful for object tracking in videos provided the object is not occluded by other elements in the scene. During occlusion, however, ...
  • Testing a biologically-based system for extracting depth from brief monocular 2-D video sequences

    Perrone, John A.; Cree, Michael J.; Hedayati, Mohammad; Corlett, Dale (IEEE, 2018)
    Knowledge of the 3-D layout in front of a moving robot or vehicle is essential for obstacle avoidance and navigation. Currently the most common methods for acquiring that information rely on ‘active’ technologies which ...

Mohammad Hedayati has 4 co-authors in Research Commons.