1. 

   Spatio-Temporal Alignment of Non-Overlapping Sequences from Independently Panning Cameras

   Seyed Morteza Safdarnejad, Xiaoming Liu

   We tackle a novel scenario of spatio-temporal alignment of seuqences referred to as Nonoverlapping Sequences (NOS). NOS are captured by multiple freely panning handheld cameras whose field of views (FOV) might have no direct spatial overlap. With the popularity of mobile sensors, NOS rise when multiple cooperative users capture a ...

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   Keywords: Motion Compensation, activity recognition

2. 

   Temporally Robust Global Motion Compensation by Keypoint-based Congealing

   Seyed Morteza Safdarnejad, Yousef Atoum, Xiaoming Liu

   Global motion compensation (GMC) removes the impact of camera motion and creates a video in which the background appears static over the progression of time. Various vision problems, such as human activity recognition, background reconstruction, and multi-object tracking can benefit from GMC. Existing GMC algorithms rely on sequentially processing consecutive ...

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   Keywords: Motion Compensation, Activity Recognition

3. 

   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

2017

• Spatio-temporal Alignment of Non-overlapping Sequences from Independently Panning Cameras
  Seyed Morteza Safdarnejad, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, Jul. 2017
  Bibtex | PDF | Project Webpage
@inproceedings{ spatio-temporal-alignment-of-non-overlapping-sequences-from-independently-panning-cameras,
  author = { Seyed Morteza Safdarnejad and Xiaoming Liu },
  title = { Spatio-temporal Alignment of Non-overlapping Sequences from Independently Panning Cameras },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Honolulu, HI },
  month = { July },
  year = { 2017 },
}

2016

• Temporally Robust Global Motion Compensation by Keypoint-based Congealing
  Seyed Morteza Safdarnejad, Yousef Atoum, Xiaoming Liu
  Proc. European Conference on Computer Vision (ECCV 2016), Amsterdam, The Netherlands, Oct. 2016
  Bibtex | PDF | Project Webpage | Code
@inproceedings{ temporally-robust-global-motion-compensation-by-keypoint-based-congealing,
  author = { Seyed Morteza Safdarnejad and Yousef Atoum and Xiaoming Liu },
  title = { Temporally Robust Global Motion Compensation by Keypoint-based Congealing },
  booktitle = { Proc. European Conference on Computer Vision },
  address = { Amsterdam, The Netherlands },
  month = { October },
  year = { 2016 },
}

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 },
}