Multimodal Vision Research Laboratory MVRL

Research Area: Video Surveillance and Object Tracking

Video surveillance research addresses detection, tracking, and activity understanding in multi-camera settings—background modeling, anomaly detection, and efficient vehicle tracking across networks. This area reflects earlier MVRL work on large-scale visual monitoring prior to our current geospatial and ecology focus.

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All Publications

  1. Thumbnail for Motion and Appearance based Background Subtraction for Freely Moving Cameras
    Sajid H, Cheung S-CS, Jacobs N. 2019. Motion and Appearance based Background Subtraction for Freely Moving Cameras. Signal Processing: Image Communication 75:11–21. DOI: 10.1016/j.image.2019.03.003.
    doi bibtex
  2. Thumbnail for Appearance based Background Subtraction for PTZ Cameras
    Sajid H, Cheung S-ching S, Jacobs N. 2016. Appearance based Background Subtraction for PTZ Cameras. Signal Processing: Image Communication. DOI: 10.1016/j.image.2016.07.008.
    doi bibtex
  3. Thumbnail for LOST: Longterm Observation of Scenes (with Tracks)
    Abrams A, Tucek J, Little J, Jacobs N, Pless R. 2012. LOST: Longterm Observation of Scenes (with Tracks). In: IEEE Workshop on Applications of Computer Vision (WACV). 297–304. DOI: 10.1109/WACV.2012.6163032.
    paper doi bibtex
  4. Thumbnail for Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams
    Jacobs N. 2010. Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams. Computer Science and Engineering, Washington University in St. Louis, MO, USA.
    paper bibtex Calibration GeoAI
  5. Thumbnail for An Efficient System for Vehicle Tracking in Multi-Camera Networks
    Dixon M, Jacobs N, Pless R. 2009. An Efficient System for Vehicle Tracking in Multi-Camera Networks. In: ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). 1–8. DOI: 10.1109/ICDSC.2009.5289383.
    paper doi bibtex Urban
  6. 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.
    doi bibtex Urban
  7. 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.
    doi bibtex Urban
  8. 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.
    paper doi bibtex
  9. 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.
    paper doi bibtex
  10. Thumbnail for Shape Background Modeling: The Shape of Things That Came
    Jacobs N, Pless R. 2007. Shape Background Modeling: The Shape of Things That Came. In: IEEE Workshop on Motion and Video Computing (WMVC). 1–6. DOI: 10.1109/WMVC.2007.35.
    website paper doi bibtex
  11. Thumbnail for Real-time Constant Memory Visual Summaries for Surveillance
    Jacobs N, Pless R. 2006. Real-time Constant Memory Visual Summaries for Surveillance. In: ACM International Workshop on Visual Surveillance and Sensor Networks (VSSN). DOI: 10.1145/1178782.1178805.
    website paper doi bibtex