Now showing items 1-2 of 2

    • Mean-Shift Tracking for Surveillance: Evaluations and Enhancements 

      CAULFIELD, DARREN (University of DublinUniversity of Dublin, Trinity College, 2011)
      Mean-shift tracking is a technique for following an object of interest as it moves through a video sequence. It is a gradient ascent approach that models the image region to be tracked by its colour histogram. In this ...
    • SMPL-Based 3D Pedestrian Pose Prediction 

      Bouroche, Melanie (2021)
      Modeling human motion is a long-standing problem in computer vision. The rapid development of deep learning technologies for computer vision problems resulted in increased attention in the area of pose prediction due to ...