ECE 893-5 Computer Vision Seminar

Fall 2004

In this course, we will review recent research publications related to visual detection, recognition, and tracking of people (or other objects), visual motion analysis, visual reconstruction, stereo vision, acoustic localization, robotic sensing, and other related topics. Each week we will meet to discuss one paper from the recent literature.  Students should read the paper beforehand and prepare questions and comments in order to participate fully in the discussion.  In addition, students are encouraged to volunteer to lead the discussion at least once during the semester.  All students are welcome to attend, whether or not they are signed up for the course. (For details on how to get credit, see the bottom of this page.)

Here are some miscellaneous computer vision resources.

Schedule

Week	Date	Paper	Discussion leader
1	8/18	Intro / overview	Stan Birchfield
2	8/25	Nicholas Molton, Andrew Davison and Ian Reid, Locally Planar Patch Features for Real-Time Structure from Motion, BMVC 2004	Abhishek Aneja
3	9/1	Mark A. Paskin, Thin Junction Tree Filters for Simultaneous Localization and Mapping, IJCAI 2003 [or technical report, U. C. Berkeley, 2002]	Zhichao Chen
4	9/8	[STB out of town]
5	9/15	V. de Silva and J. B. Tenenbaum. Global versus local methods in nonlinear dimensionality reduction . Neural Information Processing Systems 15 (NIPS'2002), pp. 705-712, 2003  [pdf]	Haripriya Ganta
6	9/22	R. Pajak, Use of two-dimensional matched filters for estimating a length of blood vessels newly created in angiogenesis process, Opto-Electronics Review, 11(3), 237-241, 2003	Guang Zeng
7	9/29	A. Mitiche, R. Feghali, A. Mansouri, Motion Tracking as Spatio-Temporal Motion Boundary Detection, Journal of Robotics and Autonomous Systems, Vol 43, No. 1, pp. 39-50, 2003	Braga Natarajan
8	10/6	Scholkopf, Smola, and Muller, Nonlinear Component Analysis as a Kernel Eigenvalue Problem, Neural Computation 10, 1299-1319, 1998.	Pinky Tejwani
9	10/13	Olga Veksler, Fast Variable Window for Stereo Correspondence using Integral Images, CVPR 2003	Andy Neff
10	10/20	Ting Yu, Ying Wu, Collaborative Tracking of Multiple Targets, CVPR 2004	Pramod Potluri
11	10/27	T. Darrell, A radial cumulative similarity transform for robust image correspondence, CVPR 1998	Charly Hermanson
12	11/3	Ho, Lee, Yang, Kriegman, Visual tracking using learned linear subspaces, CVPR 2004	Sunil Guduru
13	11/10	paper under review	Sriram Rangarajan
14	11/17	paper under review	Shrinivas Pundlik
15	11/24		Rajitha Gangishetty

Potential future papers

• Tao Zhang, Daniel Freedman, Tracking Objects using Density Matching and Shape Priors, ICCV 2003
• Manifold learning web page
• Belkin, Niyogi, Laplacian eigenmaps for dimensionality reduction and data representation, Neural Comptuation, Vol. 15, Issue 6, June 2003
• Antonio Torralba Kevin P. Murphy William T. Freeman, Sharing features: efficient boosting procedures for multiclass object detection, CVPR 2004
• Baker and Matthews, Lucas-Kanade 20 years on:  A unifying framework, IJCV 56(3):221-255, 2004  webpage
• Molton, Davison, and Reid, Parameterisation and probability in image alignment, ACCV 2004.
• A. Davison, "3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain", CVPR 2001
• Hammadi Nait-Charif & Stephen J. McKenna, Head Tracking and Action Recognition in a Smart Meeting Room, PETS 2003
• Yann, LeNet-5 convolutional neural networks -- homepage
• Kass, Witkin, and Terzopoulos, Snakes:  Active Contour Models, ICCV 1987
• Plumpe et al., Modeling of the Glottal Flow Derivative Waveform with Application to Speaker Identification, IEEE Transactions on speech and audio processing, 7(5), Sept. 1999
• Grimson et al., Using adaptive tracking to classify and monitor activities in a site, CVPR 1998
• M. J. Jones and J. M. Rehg, Statistical Color Models with Application to Skin Detection, Int. J. of Computer Vision, 46(1):81-96, Jan 2002.
• Morency, Rahimi, Darrell, Adaptive View-based Appearance Model, CVPR, 2003
• M. Irani, Multi-Frame Optical Flow Estimation Using Subspace Constraints, ICCV 1999
• Wu and Huang,  A Co-inference Approach to Robust Visual Tracking
• Sigal, Sclaroff, and Athitsos,  Estimation and prediction of evolving color distributions for skin segmentation under varying illumination, CVPR 2000
• Choo and Fleet.  People tracking using hybrid Monte Carlo filtering, ICCV 2001
• Elgammal and Davis, Probabilistic framework for segmenting people under occlusion, ICCV 2001
• Comaniciu, and Ramesh, and Meer,  Real-time tracking of non-rigid objects using mean shift, CVPR 2000
• Rui and Chen, Better proposal distributions:  Object tracking using unscented particle filter, CVPR 2001
• Toyama and Blake, Probabilistic Tracking in a Metric Space, ICCV 2001
• McKenna and Gong
• H. Schneiderman, T. Kanade. A Statistical Method for 3D Object Detection Applied to Faces and Cars, CVPR 2000
• Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J., Eigenfaces vs. Fisherfaces: Recognition Using Class-Specific Linear Projection, PAMI(19), No. 7, July 1997, pp. 711-720. 
• Veksler, Fast Variable Window for Stereo Correspondence using Integral Images, CVPR 2003
• Sullivan, Blake, Isard, and MacCormick, Object Localization by Bayesian Correlation, ICCV 1999
• Horprasert, Harwood, Davis, A robust background subtraction and shadow detection,
• Javed, Shafique, Shah, A hierarchical approach to robust background subtraction using color and gradient information,
• Jianbo Shi, Serge Belongie, Thomas Leung, Jitendra Malik, Image And Video Segmentation: The Normalized Cut Framework, ICIP 1998
• Boykov, Veksler, Zabih, Markov Random fields with efficient approximations, CVPR 1998

• Toyama et al. Wallflower: Principles and Practice of Background Maintenance, ICCV 1999

• Ivanov et al., Fast Lighting Independent Background Subtraction, IEEE Workshop on Visual Surveillance, 1998

• Chafik KERMAD, Christophe COLLEWET, Improving Feature Tracking by Robust Points of Interest Selection,

• Torresani and Bregler, Space-time tracking, ECCV 2002

•  

Administrivia

Instructor: Stan Birchfield, 207-A Riggs Hall, 864-656-5912, email: stb at clemson
Meetings: 3 - 4 pm Wednesdays, 223 Riggs Hall

To receive the 1-hour credit, students must

• sign up for the course at the beginning of the semester

• attend each week

• write a brief summary of each paper covered (five sentences minimum), answering

  • What did the authors do?

  • What are the strengths / weaknesses / potential improvements?

(Summaries should be turned in via email to the instructor with a subject line of
    Paper summary: Author
where Author is replaced by the name of the first author of the paper. Non-conforming emails will be returned.)

• lead the discussion at least once during the semester
  (Note:  A paper summary is not required for the week that you lead the discussion.)