HUMAN GAIT RECOGNITION USING DIFFERENCE BETWEEN FRAMES

Mazaher Karami, Alireza Ahmadyfard

2009

Abstract

In this paper, we address the problem of human identification using gait. Considering the recent work of Lee et al. (Lee et al., 2007) proposed for gait recognition. First we will introduce the algorithm proposed by Lee et al.. This method has two main steps: (1) extract key frames to define the gait cycle pattern, and (2) compute Shape Variation-based frieze patterns. These patterns are then used to classify and perform the gait identification. We modify the utilized features in this approach. We try to omit redundant features based on the effect of each feature on recognition rate and in next step, we improve performance of this approach by making some changes in way of feature extraction. Finally, we use the statistical characteristics of employed features instead of direct applying of remaining features. We test the proposed method on CASIA database. The experimental results are used to compare the proposed method with Lee et al. method.

References

  1. Z. Liu, S. Sarkar, 2004, "Simplest representation yet for gait recognition: averaged silhouette", Proceedings of the 17th International Conference on Pattern Recognition, Vol. 2,704-711.
  2. C. Chen, J. Liang, H. Zhao, H. Hu, 2006, "Gait recognition using hidden markov model", ICNC, Part I, LNCS 4221, pp.399-407, Springer.
  3. A. Sundaresun, A. R. Chowdhury, R. Chellappa, 2003, "A hidden markov model based framewok for recognition of humans from gait sequences", Proceeding of IEEE International Conference on Image Processing.
  4. A. Kale, A. Rajagopalan, N. Cuntoor, and V. Kruger, 2002, "Gait-based recognition of humans using continuous HMMs", Proceeding of the IEEE Conference on Automatic Face and Gesture Recognition.
  5. H.I. Suk, B.K. Sink, 2006, "HMM-based gait recognition with human profiles", SSPR and SPR, LNCS 4109, pp.596-603.
  6. H. Murase, R. Sakai, 1996, "Moving object recognition in eigenspace representation: gait analysis and lip reading", Pattern Recognition Lett.17, 155-162.
  7. J. B. Hayfron-Acquah, M. S. Nixon, J. N. Carter, 2003, "Automatic gait recognition by symmetry analysis", Pattern Recognition Letters, ELSEVIER Science B.V.
  8. S. Lee, Y. Liu, and R. Collins, 2007 , "Shape Variationbased Frieze Pattern for Robust Gait Recognition," Proceedings of CVPR 2007, 1-8.
  9. M. S. Nixon, J. Carter, 2006, "Automatic Gait Recognition by Gait", Proceedings of the IEEE, Vol. 94, No. 11.
  10. M.P. Murray, A.B. Drought, R.C. kory, 1964, "Walking Pattern of Normal Men", J. Bone Joint Surg. 46 A(2) 33-360.
  11. G. Johansson, 1973 “Visual Perception of Biological Motion and a Model for its Analysis”, Perception and Psychophysics, Vol. 14, No. 2, pp. 201-211.
  12. P.S. Huang, C.J. Harris, M.S. Nixon, 1999, "Human Gait Recognition in Canonical Space Using Temporal Templates", IEE Proceeding Computer Vision, Image & Signal Processing.
  13. L. wang, T. Tan, 2003, "Silhouette Analysis-Base Gait Recognition for Human Identification", IEEE Trans. PAMI, 25(12) 1505-1518.
  14. L. Wang,T. Tan, H. Ning, W. Hu, 2004, "Fusion of Static and Dynamic Body Biometrics for Gait Recognition", IEEE Trans. Circuit Sys. Video Techno., vol. 14, no. 2, pp. 149-158.
  15. C. BenAbdelkader, 2002, "Gait as a Biometric for Person Identification in Video Sequences", PhD Dissertation, University of Maryland, College Park.
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Paper Citation


in Harvard Style

Karami M. and Ahmadyfard A. (2009). HUMAN GAIT RECOGNITION USING DIFFERENCE BETWEEN FRAMES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 327-332. DOI: 10.5220/0001793003270332


in Bibtex Style

@conference{visapp09,
author={Mazaher Karami and Alireza Ahmadyfard},
title={HUMAN GAIT RECOGNITION USING DIFFERENCE BETWEEN FRAMES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={327-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001793003270332},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - HUMAN GAIT RECOGNITION USING DIFFERENCE BETWEEN FRAMES
SN - 978-989-8111-69-2
AU - Karami M.
AU - Ahmadyfard A.
PY - 2009
SP - 327
EP - 332
DO - 10.5220/0001793003270332