Research Area: Image Motion

Image motion research infers camera and object motion in constrained or non-standard imaging—structured-scene tracking, subtle motion in timelapse sequences, and motion under compressive measurements. It connects to timelapse, webcam, and early video understanding work in the lab.

All Publications

  1. Thumbnail for GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning
    Luo Y, Qiao F, Xiong Z, Li Y, Jacobs N. 2027. GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
  2. Thumbnail for Trajectory-aware Cross-view Geo-Localization with Sequential Observations
    Gao T, Lin J, Beaulieu D, Jacobs N. 2026. Trajectory-aware Cross-view Geo-Localization with Sequential Observations. In: European Conference on Computer Vision (ECCV).
  3. Thumbnail for Cloudmaps from Static Ground-View Video
    Jacobs N, Workman S, Souvenir R. 2016. Cloudmaps from Static Ground-View Video. Image and Vision Computing (IVC) 52:154–166. DOI: 10.1016/j.imavis.2016.05.013.
  4. Thumbnail for Estimating Cloud Maps from Outdoor Image Sequences
    Jacobs N, King J, Bowers D, Souvenir R. 2014. Estimating Cloud Maps from Outdoor Image Sequences. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 961–968. DOI: 10.1109/WACV.2014.6836000.
  5. Thumbnail for Scene Geometry from Several Partly Cloudy Days
    Jacobs N, Workman S, Souvenir R. 2013. Scene Geometry from Several Partly Cloudy Days. In: ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). 1–6. DOI: 10.1109/ICDSC.2013.6778227.
  6. Thumbnail for Cloud Motion as a Calibration Cue
    Jacobs N, Islam MT, Workman S. 2013. Cloud Motion as a Calibration Cue. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1344–1351. DOI: 10.1109/CVPR.2013.177.
  7. Thumbnail for On Analyzing Video with Very Small Motions
    Dixon M, Abrams A, Jacobs N, Pless R. 2011. On Analyzing Video with Very Small Motions. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1–8. DOI: 10.1109/CVPR.2011.5995703.
  8. Thumbnail for Compressive Sensing and Differential Image Motion Estimation
    Jacobs N, Schuh S, Pless R. 2010. Compressive Sensing and Differential Image Motion Estimation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 718–721. DOI: 10.1109/ICASSP.2010.5495053.
  9. Thumbnail for Persistence and Tracking: Putting Vehicles and Trajectories in Context
    Pless R, Dixon M, Jacobs N, Baker P, Cassimatis NL, Brock D, Hartley R, Perzanowski D. 2009. Persistence and Tracking: Putting Vehicles and Trajectories in Context. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2009.5466307.
  10. Thumbnail for Efficient Tracking of Many Objects in Structured Environments
    Jacobs N, Dixon M, Satkin S, Pless R. 2009. Efficient Tracking of Many Objects in Structured Environments. In: IEEE ICCV Workshop on Visual Surveillance. 1161–1168. DOI: 10.1109/ICCVW.2009.5457477.
  11. Thumbnail for On Unusual Pixel Shapes and Image Motion
    Jacobs N, Schuh S, Pless R. 2009. On Unusual Pixel Shapes and Image Motion. Computer Science and Engineering, Washington University in St. Louis, MO, USA.
  12. Thumbnail for Time Scales in Video Surveillance
    Jacobs N, Pless R. 2008. Time Scales in Video Surveillance. IEEE Transactions on Circuits and Systems for Video Technology (CSVT) 18:1106–1113. DOI: 10.1109/TCSVT.2008.928215.
  13. Thumbnail for Location-specific Transition Distributions for Tracking
    Jacobs N, Dixon M, Pless R. 2008. Location-specific Transition Distributions for Tracking. In: IEEE Workshop on Motion and Video Computing (WMVC). DOI: 10.1109/WMVC.2008.4544061.