Projects

  1. summary image

    Robust Global Motion Compensation in Presence of Predominant Foreground

    Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa

    Global motion compensation (GMC) removes intentional and unwanted camera motion. GMC is widely applicable for video stitching and, as a pre-processing module, for motion-based video analysis. While state-of-the-art GMC algorithms generally estimate homography satisfactorily between consecutive frames, their performances deteriorate on real-world unconstrained videos, for instance, videos with predominant foreground ...

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    Keywords: Motion Compensation, Activity Recognition

  2. summary image

    Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis

    Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa, Brooks Andrus, John Wood, Dean Craven

    The amount of digital videos being created is increasing exponentially, e.g., YouTube has reached the upload rate of 100 hours of video per minute. A great deal of this growth is due to the tremendous popularity of smartphones and ubiquitous Internet access. This means that amateur-user generated videos form ...

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    Keywords: Database, Activity Recognition

Publications

2015

  • Robust Global Motion Compensation in Presence of Predominant Foreground
    Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa
    Proc. British Machine Vision Conference (BMVC 2015), Swansea, UK, Sep. 2015 (Acceptance rate 33%, Best Poster Award)
    Bibtex | PDF | Project Webpage
  • @inproceedings{ robust-global-motion-compensation-in-presence-of-predominant-foreground,
      author = { Seyed Morteza Safdarnejad and Xiaoming Liu and Lalita Udpa },
      title = { Robust Global Motion Compensation in Presence of Predominant Foreground },
      booktitle = { Proc. British Machine Vision Conference },
      address = { Swansea, UK },
      month = { September },
      year = { 2015 },
    }
  • Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis
    Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa, Brooks Andrus, John Wood, Dean Craven
    Proc. International Conference on Automatic Face and Gesture Recognition (FG 2015), Ljubljana, Slovenia, May. 2015 (Acceptance rate 84/221 = 38%)
    Bibtex | PDF | Project Webpage
  • @inproceedings{ sports-videos-in-the-wild-svw-a-video-dataset-for-sports-analysis,
      author = { Seyed Morteza Safdarnejad and Xiaoming Liu and Lalita Udpa and Brooks Andrus and John Wood and Dean Craven },
      title = { Sports Videos in the Wild (SVW): A Video Dataset for Sports Analysis },
      booktitle = { Proc. International Conference on Automatic Face and Gesture Recognition },
      address = { Ljubljana, Slovenia },
      month = { May },
      year = { 2015 },
    }

2014

  • Genre Categorization of Amateur Sports Videos in the Wild
    Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa
    Proc. International Conference on Image Processing (ICIP 2014), Paris, France, Oct. 2014
    Bibtex | PDF
  • @inproceedings{ genre-categorization-of-amateur-sports-videos-in-the-wild,
      author = { Seyed Morteza Safdarnejad and Xiaoming Liu and Lalita Udpa },
      title = { Genre Categorization of Amateur Sports Videos in the Wild },
      booktitle = { Proc. International Conference on Image Processing },
      address = { Paris, France },
      month = { October },
      year = { 2014 },
    }