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Gait Appearance for Recognition

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Biometric Authentication (BioAW 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2359))

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Abstract

This paper describes a set of representations of gait appearance features for the purpose of person identification. Our gait representation has two stages: the first stage computes a set of image features that are based on moments extracted from orthogonal view video silhouettes of human walking motion; the second stage applies three methods of aggregating these image features over time to create the gait sequence features. Despite their simplicity, the resulting gait sequence feature vectors contain enough information to perform well on human identification. We demonstrate the accuracy of recognition using gait video sequences collected over different days and times, under varying lighting environments and explore the differences in the three time-aggregation methods for the purpose of recognition.

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References

  1. A. Bobick and J. Davis. The recognition of human movement using temporal templates. PAMI, 23(3), March 2001.

    Google Scholar 

  2. Ross Cutler and Larry Davis. Robust real-time periodic motion detection, analysis, and applications. PAMI, 22(8):781–796, 2000.

    Article  Google Scholar 

  3. J.E. Cutting and L.T. Kozlowski. Recognizing friends by their walk: gait perception without familiarity cues. Bull. Psychonometric Soc., (9):353–356, 1977.

    Google Scholar 

  4. JE Cutting, DR Proffitt, and LT. Kozlowski. A biomechanical invariant for gait perception. Journal of Experimental Psychology: Human Perception and Performance, 4(3):357–372, 1978.

    Article  Google Scholar 

  5. G Johansson. Visual motion perception. Scientific American, (232):76–88, 1975.

    Article  Google Scholar 

  6. James Little and Jeffrey Boyd. Recognizing people by their gait: The shape of motion. Videre, 1(2), 1998.

    Google Scholar 

  7. L. Lee and W.E.L. Grimson. Gait analysis for recognition and classification. In Proceedings of The 5th International Conference on Automatic Face and Gesture Recognition, 2002.

    Google Scholar 

  8. M.S. Nixon, J.N. Carter, J.M. Nash, P.S. Huang, D. Cunado, and S.V. Stevenage. Automatic gait recognition. In Motion Analysis and Tracking (Ref. No. 1999/103), IEE Colloquium on, pages 3/1–3/6, 1999.

    Google Scholar 

  9. P.J. Phillips, H. Moon, P. Rauss, and S.A. Rizvi. The feret evaluation methodology for face-recognition algorithms. In CVPR, pages 137–143, 1997.

    Google Scholar 

  10. Ramprasad Polana and Randall Nelson. Detecting activities. In CVPR, 1993.

    Google Scholar 

  11. C. Stauffer and W.E.L. Grimson. Adaptive background mixture models for real-time tracking. In CVPR, 1999.

    Google Scholar 

  12. G. Shakhnarovich, L. Lee, and T. Darrell. Integrated face and gait recognition from multiple views. In CVPR, 2001.

    Google Scholar 

  13. J.D. Shutler, M.S. Nixon, and C.J. Harris. Statistical gait recognition via velocity moments. In Visual Biometrics, IEEE, pages 10/1–10/5, 2000.

    Google Scholar 

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Author information

Authors and Affiliations

  1. MIT AI Laboratory, 200 Technology Square, Cambridge, MA, 02139

    L. Lee & W. E. L. Grimson

Authors
  1. L. Lee
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  2. W. E. L. Grimson
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Editor information

Editors and Affiliations

  1. Computer Vision Laboratory, DIBEV, University of Sassari, via Muroni 25, 07100, Sassari, Italy

    Massimo Tistarelli

  2. Halmstad University, Kristian IVs väg, 301 18, Halmstad, Sweden

    Josef Bigun

  3. Department of Computer Science and Engineering, Michigan State University, 3115 Engineering Bldg, East Lansing, MI, 48824-1226, USA

    Anil K. Jain

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© 2002 Springer-Verlag Berlin Heidelberg

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Lee, L., Grimson, W.E.L. (2002). Gait Appearance for Recognition. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds) Biometric Authentication. BioAW 2002. Lecture Notes in Computer Science, vol 2359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47917-1_15

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  • DOI: https://doi.org/10.1007/3-540-47917-1_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43723-9

  • Online ISBN: 978-3-540-47917-8

  • eBook Packages: Springer Book Archive

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