ECE 904 Computer Vision Seminar
Spring 2008

In this course we 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 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.





Discussion leader



Seon Joo Kim, Jan-Michael Frahm and Marc Pollefeys, Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video, ICCV 2007

Stan Birchfield



D. M. Gavrila and S. Munder, Multi-cue pedestrian detection and tracking from a moving vehicle, IJCV 2007 Shrinivas Pundlik



Yang Cheng, Andrew Johnson and Larry Matthies, MER-DIMES: A Planetary Landing Application of Computer Vision, CVPR 2005 Trupti Patil



O. Boiman M. Irani, Detecting Irregularities in Images and in Video, IJCV 74(1):17-31, 2007 Phillip Martin



N. Ohnishi and A. Imiya, Corridor Navigation and Obstacle
Avoidance using Visual Potential for Mobile Robot
, Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 131-138, 2007
Vidya Murali



Todd Templeton, David Hyunchul Shim, Christopher Geyer, and S. Shankar
Sastry, Autonomous Vision-based Landing and Terrain Mapping
Using an MPC-controlled Unmanned Rotorcraft
, ICRA 2007
Ninad Pradhan



Shai Avidan and Ariel Shamir, Seam Carving for Content-Aware Image Resizing, SIGGRAPH 2007 Anirudh Singh



Yunqiang Chen, Yong Rui, and Thomas S. Huang, Multicue HMM-UKF for Real-Time Contour Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(9), Sept. 2006 Heng Liu



Robert Collins, Yanxi Liu, and Marius Leordeanu, On-Line Selection of Discriminative Tracking Features, PAMI, 2005 Nikhil Rane






Qiaoping Zhang and Isabelle Couloigner, Benefit of the angular texture signature for the separation of parking lots and roads on high resolution multi-spectral imagery, Pattern Recognition Letters, Volume 27, Issue 9 (July 2006) Pages 937-946 Guang Zeng



I. Matthews, T. Ishikawa, and S. Baker, The Template Update Problem, PAMI, 26(6):810-815, 2004 Prakash C.



Zhaozheng Yin and R.Collins, Spatial Divide and Conquer with Motion Cues
for Tracking through Clutter
, vol. 1, pages 570-577, CVPR 2006
Nalin S.



B. Wu and R. Nevatia, Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors, IJCV 2007 Zhichao Chen
15 4/22 John Daugman, Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons, Proceedings of the IEEE, Nov. 2006 Wayne Ryan

Papers covered in previous semesters

Potential future papers

  1. G. Guo and C. R. Dyer, Patch-based Image Correlation with Rapid Filtering, CVPR 2007
  2. R. Collins, Y. Liu, and M. Leordeanu, On-Line Selection of Discriminative Tracking Features,
    IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, October, 2005, pp. 1631 - 1643.
  3. G. J. Brostow, R. Cipolla, Unsupervised Bayesian Detection of Independent Motion in Crowds, CVPR 2006.
  4. Denis McCarthy and Frank Boland, A Method for Source-Microphone Range Estimation in Reverberant Environments Using Arrays of Unknown Geometry, EURASIP Journal on Advances in Signal Processing, 2008
  5. Willert, V.; Eggert, J.; Adamy, J.; Stahl, R.; Korner, E., A Probabilistic Model for Binaural Sound Localization, IEEE Trans. on Systems, Man, and Cybernetics B, 36(5): 982-994, 2006
  6. Zezhi Chen, Nick Pears and Bojian Liang, Monocular obstacle detection using reciprocal-polar rectification, Image and Vision Computing, 24(12): 1301–1312, 2006
  7. Arthur E.C. Pece, Anthony D. Worrall, A comparison between feature-based and EM-based contour tracking, Image and Vision Computing, 24(12): 1218-1232, 2006
  8. Sun et al., "Bi-directional Tracking using Trajectory Segment Analysis", ICCV 2005.
  9. T.-J. Cham and J. M. Rehg, A Multiple Hypothesis Approach to Figure Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 239–245, Ft. Collins, CO, June 1999.
  10. Jean-Yves Bouguet, Pyramidal Implementation of the Lucas Kanade Feature Tracker
  11. Zoran Zivkovic, Ferdinand van der Heijden, Better features to track by estimating the tracking convergence region, ICPR 2002
  12. Eric Marchand, Francois Chaumette.  Features Tracking For Visual Servoing Purpose, 2004
  13. P. Bouthemy, "A Maximum Likelihood Framework for Determining Moving Edges," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11,  no. 5,  pp. 499-511,  May 1989.
  14. Alper Yilmaz, Xin Li, and Mubarak Shah, Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras, PAMI 26(11), 2004
  15. J. Sivic, B. Russell, A.A. Efros, A. Zisserman, and B. Freeman, Discovering Objects and Their Location in Images,
    International Conference on Computer Vision (ICCV 2005), October, 2005.
  16. D. Beymer and K. Konolige.  Tracking People from a Mobile Platform.  International Symposium on Experimental Robotics, 2002.
  17. P. Felzenszwalb and D. Huttenlocher, Efficient Belief Propagation for Early Vision, CVPR 2004.
  18. A.R. Mansouri, “Region tracking via level set PDEs without motion computation,” PAMI, vol. 24, no. 7, pp. 947–961, 2002
  19. Yogesh Rathi Namrata Vaswani Allen Tannenbaum Anthony Yezzi, Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects, CVPR 2005
  20. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce.
    Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects.
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, June
    2004, vol. 2, pp. 914-921.
  21. Sifakis et al., Video Segmentation Using Fast Marching and Region Growing Algorithms, EURASIP Journal on Applied Signal Processing 2002:4, 379–388
  22. A. M. Martinez and M. Zhu, Where Are Linear Feature Extraction Methods Applicable?, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 27, Issue 12, pp. 1934-1944, December 2005
  23. J. Xiao and M. Shah, Motion layer extraction in the presence of occlusion using graph cut, CVPR 2004
  24. Henele Adams, Sanjiv Singh, and Dennis Strelow. An empirical comparison of methods for image-based motion estimation. IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2002. (PDF)
  25. A. Barbu, S.C. Zhu, Graph Partition By Swendsen-Wang Cuts, ICCV 2003
  26. S. Avidan, Support vector tracking, CVPR 2001
  27. Black and Jepson, Eigentracking:  Robust matching and tracking of articulated objects using a view-based representation, IJCV, 26(1), 1998
  28. Khan, Balch, Dellaert, A Rao-Blackwellized particle filter for eigentracking, CVPR 2004
  29. Freeman and Roth, Orientation histograms for hand gesture recognition, Workshop on AFGR, 1995
  30. Perez, Hue, Vermaak, Gangnet, Color-based probabilistic tracking, ECCV 2002
  31. Y. Wu, Robust visual tracking by integrating multiple cues based on co-inference learning, IJCV, 58(1), 2004
  32. Philomin, Duraiswami, Davis, Quasi-random sampling for condensation, ECCV 2000
  33. Brown, Burschka, and Hager, Advances in Computational Stereo, PAMI 2003.
  34. Tao Zhang, Daniel Freedman, Tracking Objects using Density Matching and Shape Priors, ICCV 2003
  35. Manifold learning web page
  36. Belkin, Niyogi, Laplacian eigenmaps for dimensionality reduction and data representation, Neural Comptuation, Vol. 15, Issue 6, June 2003
  37. Antonio Torralba Kevin P. Murphy William T. Freeman, Sharing features: efficient boosting procedures for multiclass object detection, CVPR 2004
  38. Baker and Matthews, Lucas-Kanade 20 years on:  A unifying framework, IJCV 56(3):221-255, 2004  webpage
  39. Molton, Davison, and Reid, Parameterisation and probability in image alignment, ACCV 2004.
  40. A. Davison, "3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain", CVPR 2001
  41. Yann, LeNet-5 convolutional neural networks -- homepage
  42. Kass, Witkin, and Terzopoulos, Snakes:  Active Contour Models, ICCV 1987
  43. Grimson et al., Using adaptive tracking to classify and monitor activities in a site, CVPR 1998
  44. 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.
  45. Morency, Rahimi, Darrell, Adaptive View-based Appearance Model, CVPR, 2003
  46. M. Irani, Multi-Frame Optical Flow Estimation Using Subspace Constraints, ICCV 1999
  47. Wu and Huang,  A Co-inference Approach to Robust Visual Tracking
  48. Sigal, Sclaroff, and Athitsos,  Estimation and prediction of evolving color distributions for skin segmentation under varying illumination, CVPR 2000
  49. Elgammal and Davis, Probabilistic framework for segmenting people under occlusion, ICCV 2001
  50. Rui and Chen, Better proposal distributions:  Object tracking using unscented particle filter, CVPR 2001
  51. Toyama and Blake, Probabilistic Tracking in a Metric Space, ICCV 2001
  52. H. Schneiderman, T. Kanade. A Statistical Method for 3D Object Detection Applied to Faces and Cars, CVPR 2000
  53. 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. 
  54. Veksler, Fast Variable Window for Stereo Correspondence using Integral Images, CVPR 2003
  55. Sullivan, Blake, Isard, and MacCormick, Object Localization by Bayesian Correlation, ICCV 1999
  56. Javed, Shafique, Shah, A hierarchical approach to robust background subtraction using color and gradient information,
  57. Jianbo Shi, Serge Belongie, Thomas Leung, Jitendra Malik, Image And Video Segmentation: The Normalized Cut Framework, ICIP 1998
  58. Boykov, Veksler, Zabih, Markov Random fields with efficient approximations, CVPR 1998
  59. Chafik KERMAD, Christophe COLLEWET, Improving Feature Tracking by Robust Points of Interest Selection,
  60. Torresani and Bregler, Space-time tracking, ECCV 2002


Instructor: Stan Birchfield, 207-A Riggs Hall, 656-5912, email: stb at clemson
Meetings: 3:30-4:30 T, 301 Riggs Hall

To receive the 1-hour credit, students must

One absence is allowed per semester, as well as three late summaries. (The summaries are checked once per week, so three late summaries could be three separate summaries each of which is one week late, or it could be one summary that is three weeks late, or any combination thereof.)