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• Visual stabilization techniques for tracking with a moving camera (Target tracking in video sequences can suffer poor performances if the camera is moving (e.g, wind, hand held device, aerial tracking system). The aim of the project is to investigate the state of the art in image stabilization and registration in non static or cluttered scenes. Possible ideas to be investigated include: homography tracking or smoothing, 3D camera motion estimation, image registration and mosicing. As a by product of the work, a tool for the performance evaluation of image stabilization algorithms should be designed. Material
  • a huge corpus of literature on the topic
  • datasets to test the approach upon
  • C++ library for image processing and computer vision (OpenCV)
  Expected outcome:
  • software for the stabilization of videos from a moving camera showing moving objects in cluttered environments
  • a tool for the objective evaluation of image stabilization algorithms
  Required skills or skills to be acquired:
  • computer vision and 3D reconstruction
  • C++ programming under Linux)