Dynamic Texture Based Gait Recognition

  • Vili Kellokumpu
  • Guoying Zhao
  • Stan Z. Li
  • Matti Pietikäinen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)


We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way. We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms. We show the suitability of the representation for gait recognition and test our method on a popular CMU MoBo dataset. We then compare our result to the state of the art methods.


Gait recognition LBP-TOP multiresolution LBP uniform patterns 


  1. 1.
    Nixon, M.S., Tan, T., Chellappa, R.: Human Identification Based on Gait. Springer, Heidelberg (2005) Google Scholar
  2. 2.
    Boyd, J., Little, J.: Biometric Gait Recognition. In: Tistarelli, M., Bigun, J., Grosso, E. (eds.) Advanced Studies in Biometrics. LNCS, vol. 3161, pp. 19–42. Springer, Heidelberg (2005) Google Scholar
  3. 3.
    BenAbdelkader, C., Cutler, R., Davis, L.: Motion based recognition of people in eigengait space. In: Proc. FG, pp. 267 – 272 (2002) Google Scholar
  4. 4.
    Veres, G.V., Gordon, L., Carter, J.N., Nixon, M.S.: What image information is important in silhouette based gait recognition? In: Proc. CVPR, vol. 2, pp. 776–782 (2004) Google Scholar
  5. 5.
    Liu, Z., Sarkar, S.: Improved Gait Recognition by Dynamics Normalization. In: PAMI, vol. 2, pp. 863–876 (2006) Google Scholar
  6. 6.
    Zhao, G., Cui, L., Li, H.: Gait Recognition Using Fractal Scale. PAA 10(3), 235–246 (2007) Google Scholar
  7. 7.
    Kellokumpu, V., Zhao, G., Pietikäinen, M.: Human activity recognition using a dynamic texture based method. In: Proc. BMVC, 10 p. (2008) Google Scholar
  8. 8.
    Blank, M., Gorelick, L., Shechtman, E., Irani, M., Basri, R.: Actions as Space-Time Shapes. In: Proc ICCV, vol. 2, pp. 1395–1402 (2005) Google Scholar
  9. 9.
    BenAbdelkaber, C., Cutler, R.G., Davis, L.S.: Gait Recognition Using Image Self-Similarity. EURASIP Journal on Applied Signal Processing 24(4), 572–585 (2004) Google Scholar
  10. 10.
    Liu, Y., Collins, R., Tsin, Y.: Gait Sequence Analysis Using Frieze Patterns. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2351, pp. 657–671. Springer, Heidelberg (2002) Google Scholar
  11. 11.
    Lee, S., Liu, X., Collins, R.: Shape Variation-Based Frieze Pattern for Robust Gait Recognition. In: Proc CVPR 2007, 8 p. (2007) Google Scholar
  12. 12.
    Niyogi, S.A., Adelson, E.H.: Analyzing and Recognizing Walking Figures in XYT. In: Proc. CVPR, pp. 469–474 (1994) Google Scholar
  13. 13.
    Huang, G., Wang, Y.: Human Gait Recognition Based on X-T Plane Energy Images. In: Proc. ICWAPR 2007, pp. 1134–1138 (2007) Google Scholar
  14. 14.
    Kobyashi, T., Otsu, N.: Action and Simultaneous Multiple-Person Identification Using Cubic Higher-order Auto-Correlation. In: Proc. ICPR, vol. 4, pp. 741–744 (2004) Google Scholar
  15. 15.
    Zhao, G., Pietikäinen, M.: Dynamic Texture Recognition Using Local Binary Patterns With an Application to Facial Expressions. PAMI 29(6), 915–928 (2007) Google Scholar
  16. 16.
    Zhao, G., Pietikäinen, M., Hadid, A.: Local Spatiotemporal Descriptors for Visual Recognition of Spoken Phrases. In: Proc. HCM 2007, pp. 57–65 (2007) Google Scholar
  17. 17.
    Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. PAMI 24(7), 971–987 (2002) Google Scholar
  18. 18.
    Gross, R., Shi, J.: The CMU Motion of body (MoBo) database. Technical Report CMU-RI-TR-01-18, Robotics Institute, Carnege Mellon University (2001) Google Scholar
  19. 19.
    Collins, R., Gross, R., Shi, J.: Silhouette Based Human Identification from Body Shape and Gait. In: International Conference on Face and Gesture, pp. 366–371 (2002) Google Scholar
  20. 20.
    Veerarghavan, A., Chowdhury, A.R., Chellappa, R.: Role of Shape and Kinematics in Human Movement Analysis. In: Proc. CVPR, vol. 1, pp. 730–737 (2004) Google Scholar
  21. 21.
    Lee, L., Grimson, W.: Gait Analysis for Recognition and Classification. In: International Conference Automatic Face and Gesture, pp. 155–162 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Vili Kellokumpu
    • 1
  • Guoying Zhao
    • 1
  • Stan Z. Li
    • 2
  • Matti Pietikäinen
    • 1
  1. 1.Machine Vision GroupUniversity of OuluFinland
  2. 2.Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

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