The Effect of Time on Gait Recognition Performance

@article{Matovski2012TheEO,
  title={The Effect of Time on Gait Recognition Performance},
  author={Darko S. Matovski and Mark S. Nixon and Sasan Mahmoodi and John N. Carter},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2012},
  volume={7},
  pages={543-552}
}
Many studies have shown that it is possible to recognize people by the way they walk. However, there are a number of covariate factors that affect recognition performance. The time between capturing the gallery and the probe has been reported to affect recognition the most. To date, no study has isolated the effect of time, irrespective of other covariates. Here, we present the first principled study that examines the effect of elapsed time on gait recognition. Using empirical evidence we show… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 31 references

The humanID gait challenge problem: data sets, performance, and analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2005
View 5 Excerpts
Highly Influenced

Model-based human recognition—2D and 3D gait

B. Bhanur, J. Han
Human Recognition at a Distance in Video. London, U.K.: Springer, 2011, pp. 65–94, Advances in Pattern Recognition. • 2011

Action and Gait Recognition From Recovered 3-D Human Joints

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2010
View 1 Excerpt

Low-Resolution Gait Recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2010
View 1 Excerpt

On Acquisition and Analysis of a Dataset Comprising of Gait, Ear and Semantic Data. In Multibiometrics for Human Identification

S. Samangooei, J. Bustard, M. S. Nixon, J.N.N. Carter
2010
View 1 Excerpt

Performance evaluation of vision-based gait recognition using a very large-scale gait database

M. Okumura, H. Iwama, Y.Makihara, Y. Yagi
Proc. 4th IEEE Int. Conf. Biometrics: Theory, Applications and Systems (BTAS), Washington, D.C, 2010. • 2010
View 1 Excerpt

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