Stauffer, Christopher - Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT)

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Stauffer, Christopher - Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT)

Similarity templates for detection and recognition Chris Stauffer Eric Grimson
Video Surveillance of Interactions Yuri Ivanov
Learning a Probabilistic Similarity Function for Segmentation Chris Stauffer
Transform-invariant image decomposition with similarity templates
Learning patterns of activity using real-time tracking Chris Stau er W. Eric L. Grimson
Video Surveillance of Interactions Yuri Ivanov
Automatic hierarchical classification using time-based co-occurrences While a tracking system is unaware of the iden-
Automated Audio-Visual Activity Analysis Chris Stauffer
Scene Reconstruction Using Accumulated LineofSight
Automatic hierarchical classification using timebased cooccurrences While a tracking system is unaware of the iden
Adaptive background mixture models for realtime tracking Chris Stau#er W.E.L Grimson
Transforminvariant image decomposition with similarity templates
SeeCoast port surveillance Michael Seibert*
Moving Object Segmentation Using Super-Resolution Background Models Joshua Migdal, Tomas Izo and Chris Stauffer
Estimating Tracking Sources and Sinks Chris Stauffer
Perceptual Data Mining: Bootstrapping visual intelligence from tracking behavior
Scene Reconstruction Using Accumulated Line-of-Sight
Factored Latent Analysis for far-field tracking data Chris Stauffer
Automated multi-camera planar tracking correspondence modeling This paper introduces a methodology for robustly estimat-
Minimally-Supervised Classification using Multiple Observation Sets Chris Stauffer
Learning to Track Objects Through Unobserved Regions Chris Stauffer
Robust automated planar normalization of tracking data Chris Stauffer Kinh Tieu Lily Lee
Similarity templates for detection and recognition Chris Stauffer Eric Grimson
Learning a factorized segmental representation of far-field tracking data Chris Stauffer
Perceptual Data Mining: Bootstrapping visual intelligence from tracking behavior