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Gait Recognition Based on Fusion of Multi-view Gait Sequences

  • Yuan Wang
  • Shiqi Yu
  • Yunhong Wang
  • Tieniu Tan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

In recent years, many gait recognition algorithms have been developed, but most of them depend on a specific view angle. In this paper,we present a new gait recognition scheme based on multi-view gait sequence fusion. An experimental comparison of the fusion of gait sequences at different views is reported. Our experiments show the fusion of gait sequences at different views can consistently achieve better results. The Dempster-Shafer fusion method is found to give a great improvement. On the other hand, we also find that fusion of gait sequences with an angle difference greater than or equal to 90° can achieve better improvement than fusion of those with an acute angle difference.

References

  1. 1.
    Kale, A., Sundaresan, A., Rajagopalan, A.N., Cuntoor, N.P., roy Chowdhury, A.K., Krüger, V., Chellappa, R.: Identification of humans using gait. IEEE Transactions on Image Processing 13, 1163–1173 (2004)CrossRefGoogle Scholar
  2. 2.
    Wang, L., Tan, T., Ning, H., Hu, W.: Silhouette analysis-based gait recognition for human identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 1505–1518 (2003)CrossRefGoogle Scholar
  3. 3.
    Wang, L., Ning, H., Tan, T., Hu, W.: Fusion of static and dynamic body biometrics for gait recognition. IEEE Transactions on Circuits and Systems for Video Technology 14, 149–158 (2004)CrossRefGoogle Scholar
  4. 4.
    Yam, C.Y., Nixon, M.S., Carter, J.N.: On the relationship of human walking and running: automatic person identification by gait. In: Proc. of International Conference on Pattern Recognition, Quebec,Canada, pp. 287–290 (2002)Google Scholar
  5. 5.
    Yu, S., Wang, L., Hu, W., Tan, T.: Gait analysis for human identification in frequency domain. In: Proc. of the 3rd International Conference on Image and Graphics, Hong Kong, China, pp. 282–285 (2004)Google Scholar
  6. 6.
    Sugie, Y., Kobayashi, T.: Media-integrated biometric person recognition based on the dempster-shafer theory. In: 16th International Conference on Pattern Recognition, pp. 381–384 (2002)Google Scholar
  7. 7.
    Jain, A.K., Nandakumar, K., Ross, A.: Score normalization in multimodal biometric systems. To appear in Pattern Recognition (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yuan Wang
    • 1
  • Shiqi Yu
    • 1
  • Yunhong Wang
    • 2
  • Tieniu Tan
    • 1
  1. 1.National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina
  2. 2.School of Computer Science and EngineeringBeihang University 

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