Related Publications

 

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Updated on 10/10/2007 3:34 PM

 

Publications describing the Gait Challenge Problem

  1. S. Sarkar and Z. Liu, “Recognition From Gait,” Book Chapter, to appear, 2007.
  2. S. Sarkar, P. Jonathon Phillips, Z. Liu, I. Robledo, P. Grother, K. W. Bowyer, “The Human ID Gait Challenge Problem: Data Sets, Performance, and Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.  27,  no. 2,  pp. 162 – 177, Feb. 2005.
  3. P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. W. Bowyer, “The Gait Identification Challenge Problem: Data Sets and Baseline AlgorithmInternational Conference on Pattern Recognition, pp. 385—388, Aug 2002.
  4. P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. W. Bowyer, “Baseline Results for the Challenge Problem of Human ID Using Gait Analysis,” 5th International Conference on Automatic Face and Gesture Recognition, May 2002.

 

Additional publication needed to understand the Gait Challenge experimental framework

 

*      P. J. Phillips, H. Moon, S. Rizvi, and P. Rauss, “The FERET evaluation methodology for face-recognition algorithms,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10): 1090--1104, 2000.

 

 

Published papers reporting results on the Gait Challenge Problem

(If you have papers on this problem, please let us know.)

 

  1. D. Xu, S. Yan, D. Tao, S. Lin and H. Zhang, “Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content Based Image Retrieval,” IEEE Trans. on Image Processing (T-IP), Accepted (To appear).  http://www.ntu.edu.sg/home/dongxu/TIP-MFASingle.pdf.
  2. D. Xu, S. Yan, D. Tao, L. Zhang, X. Li and H. Zhang, "Human Gait Recognition with Matrix Representation," IEEE Trans. on Circuits Systems for Video Technology (T-CSVT), pp. 896-903, Jul. 2006.
  3. Z. Liu and S. Sarkar. Improved Gait Recognition by Gait Dynamics Normalization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(6):863–876, 2006
  4. N.V. Boulgouris, D. Hatzinakos, and K.N. Plataniotis. Gait recognition: a challenging signal processing technology for biometric identification. IEEE Signal Processing Magazine, 22(6):78–90, Nov. 2005.
  5. R. Collins, R. Gross, and J. Shi. Silhouette-based human identification from body shape and gait. In Proc. of International Conference on Automatic Face and Gesture Recognition, pages 366–371, 2002.
  6. Amit Kale, Aravind Sundaresan, A. N. Rajagopalan, Naresh P. Cuntoor, Amit K. Roy-Chowdhury, Volker Krger, and Rama Chellappa. Identification of humans using gait. IEEE Transactions on Image Processing, 13(9):1163–1173, Sept. 2004.
  7. Z. Liu and S. Sarkar. Effect of silhouette quality on hard problems in gait recognition. IEEE Transactions on Systems, Man, and Cybernetics (PartB), 35(2):170–183, April 2005.
  8. Z. Liu and S. Sarkar. Outdoor recognition at a distance by fusing gait and face. Image and Vision Computing, Oct. 2006. In press.
  9. J. Han and B. Bhanu. Statistical feature fusion for gait-based human recognition. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 842–847, June 2004.
  10. I. Robledo and S. Sarkar, “Experiments on Gait Analysis by Exploiting Nonstationarity in the Distribution of Feature Relationships,” International Conference on Pattern Recognition, vol. 1, pp. 1–4, Aug. 2002.
  11. I. Robledo and S. Sarkar, “Representation of the Evolution of Feature Relationship Statistics: Human Gait-Based RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 10, Oct 2003.