Course Introduction |
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01/12 |
Collins |
Impromptu overview based on
syllabus .
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Lucas-Kanade Method |
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01/17 |
Collins |
Template matching, warps, and Lucas-Kanade.
  [slides]
  [6 per page] |
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01/19 |
Merritt |
Lucas-Kanade 20 Years On: A Unifying Framework: Part 1,
Baker and Matthews.
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01/24 |
Collins |
More on Lucas-Kanade. Background alignment.
  [slides]
  [6 per page] |
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Bob's demo code, rotation+trans LK.
  [zip file] |
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some test data sequences (big).
  [sequence11]
  [sequence15] |
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Baker and Matthews Matlab source code for LK20 Part 1 |
Mean-Shift Algorithm |
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01/26 |
Collins |
Introduction to Mean-Shift.
  [slides]
  [6 per page] |
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01/31 |
Gibbs |
Camshift paper,
Gary Bradski, Intel |
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01/31 |
Lee |
EM-like Mean-shift paper,
Zivkovic and Krose, CVPR2004 |
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02/02 |
Collins |
More on Mean-Shift derivation.
  [slides]
  [6 per page] |
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02/07 |
bleeding edge discussion: relationship of mean-shift to lucas-kanade? |
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Multiple Kernel Tracking with SSD,
Hager etal, CVPR 2004 |
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Real-time Kernel-based Tracking in Joint Feature-Spatial Space,
Yang etal, UMd TR, 2004 |
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Probabilistic Tracking in Joint Feature-Spatial Space,
Elgammal etal, CVPR 2003 |
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02/09 |
bleeding edge discussion: relationship of mean-shift to expectation-maximization? |
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Mean Shift is a Bound Optimization,
Fashing and Tomasi, PAMI 2005 |
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Expectation-Maximization as Lower Bound Maximization,
Tom Minka, tutorial |
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The Expectation-Maximization Algorithm,
Frank Dellaert, Tech Report (based on Minka) |
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02/14 |
Collins |
Mean-shift Blob Tracking through Scale Space, CVPR 2003.
  [slides]
  [6 per page] |
Classification-based Tracking |
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02/16 |
Collins |
On-line Selection of Discriminative Tracking Features, PAMI 2005.
  [slides]
  [6 per page] |
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02/23 |
Deliman |
Ensemble Tracking, Shai Avidan, CVPR 2005. |
Layer Tracking |
(Gap in page updating. Need to go back and fill this in) |
Particle Filtering |
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03/21 |
Collins |
Introduction to Filtering
  [slides]
  [6 per page] |
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03/23 |
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A Tutorial on Particle Filters..., Arulampalam, et.al. IEEE Trans Sig Proc 2002. |
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03/28 |
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more discussion of particle filtering tutorial
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03/30 |
Erdley |
Condensation - conditional density propagation for visual tracking Isard and Blake, 1998
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Michel |
Color-based Probabilistic Tracking Perez et.al. 2002
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Tracking Multiple Objects |
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04/04 |
Collins |
Intro to Data Association methods (eg.gating,NN,PDAF...)
  [slides]
  [6 per page] |
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04/06 |
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**Class Cancelled** |
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04/11 |
Collins |
Multiobject Data Association (eg. JPDAF, MHT)
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04/13 |
JPDAF and Exclusion Principle |
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Park |
Probabilistic Data Association Methods... Rasmussen and Hager, PAMI 2001.
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Yin |
A Probabilistic Exclusion Principle... MacCormick and Blake, IJCV 2000.
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04/18 |
Multi Hypothesis Tracking (MHT) |
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Anupama |
An Efficient Implementation of Reid's MHT Algorithm ... Cox and Hingorani, PAMI 1996.
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Gibbs |
Reformulating Reid's MHT Method... Danchick and Newman, Feb 2006.
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04/20 |
Tracking interacting objects |
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Deliman |
MCMC-based Particle Filtering...Khan, Balch & Dellaert, PAMI 2005.
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Lee |
Tracking Dynamic Near-regular Textures... Lin and Liu, ECCV 2006
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