International Journal of Fuzzy Logic and Intelligent Systems

  • 제13권2호
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  • Pages.124-132
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  • 2013
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Feasibility Study of Gait Recognition Using Points in Three-Dimensional Space

  • Kim, Minsung (Department of Transdisciplinary Studies, Seoul National University) ;
  • Kim, Mingon (Department of Transdisciplinary Studies, Seoul National University) ;
  • Park, Sumin (Department of Transdisciplinary Studies, Seoul National University) ;
  • Kwon, Junghoon (Digital Human Research Center, Advanced Institutes of Convergence Technology) ;
  • Park, Jaeheung (Department of Transdisciplinary Studies, Seoul National University)
  • 투고 : 2013.02.21
  • 심사 : 2013.05.13
  • 발행 : 2013.06.25
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초록

This study investigated the feasibility of gait recognition using points on the body in three-dimensional (3D) space based on comparisons of four different feature vectors. To obtain the point trajectories on the body in 3D, gait motion data were captured from 10 participants using a 3D motion capture system, and four shoes with different heel heights were used to study the effects of heel height on gait recognition. Finally, the recognition rates were compared using four methods and different heel heights.

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참고문헌

  1. L. Wang, T. Tan, H. Ning, and W. Hu, "Silhouette analysisbased gait recognition for human identification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 12, pp. 1505-1518, Dec. 2003. http://dx.doi.org/10.1109/TPAMI.2003.1251144
  2. A. Kale, A. Sundaresan, A. N. Rajagopalan, N. P. Cuntoor, A. K. Roy-Chowdhury, V. Kruger, and R. Chellappa, "Identification of humans using gait," IEEE Transactions on Image Processing, vol. 13, no. 9, pp. 1163-1173, Sep. 2004. http://dx.doi.org/10.1109/TIP.2004.832865
  3. J. Han and B. Bhanu, "Individual recognition using gait energy image," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 2, pp. 316-322, Feb. 2006. http://dx.doi.org/10.1109/TPAMI.2006.38
  4. B. Y. Lee, S. J. Hong, H. S. Lee, and E. T. Kim, "Gaitbased human identification system using eigenfeature regularization and extraction," Journal of Korean Institute of Intelligent Systems, vol. 21, no. 1, pp. 6-11, Feb. 2011. http://dx.doi.org/10.5391/JKIIS.2011.21.1.6
  5. I. Bouchrika, M. Goffredo, J. N. Carter, and M. S. Nixon, "Covariate analysis for view-point independent gait recognition," in Proceedings of the 3rd International Conference on Advances in Biometrics, Alghero, 2009. pp. 990-999. http://dx.doi.org/10.1007/978-3-642-01793-3_100
  6. C. BenAbdelkader, R. G. Cutler, and L. S. Davis, "Gait recognition using image self-similarity," EURASIP Journal on Applied Signal Processing, vol. 2004, pp. 572-585, Jan. 2004. http://dx.doi.org/10.1155/S1110865704309236
  7. L. Wang, T. Tan, W. Hu, and H. Ning, "Automatic gait recognition based on statistical shape analysis," IEEE Transactions on Image Processing, vol. 12, no. 9, pp. 1120-1131, Sep. 2003. http://dx.doi.org/10.1109/TIP.2003.815251
  8. J. Han, B. Bhanu, and A. K. Roy-Chowdhury, "A study on view-insensitive gait recognition," in Proceedings of IEEE International Conference on Image Processing, Genoa, 2005, pp. 297-300. http://dx.doi.org/10.1109/ICIP.2005.1530387
  9. Y. Pratheepan, J. V. Condell, and G. Prasad, "Individual identification using gait sequences under different covariate factors," in Proceedings of the 7th International Conference on Computer Vision Systems, Liege, 2009, pp. 84-93. http://dx.doi.org/10.1007/978-3-642-04667-4_9
  10. S. Sivapalan, D. Chen, S. Denman, S. Sridharan, and C. Fookes, "Gait energy volumes and frontal gait recognition using depth images," in Proceedings of International Joint Conference on Biometrics, Washington DC, 2011, pp. 1-6. http://dx.doi.org/10.1109/IJCB.2011.6117504
  11. G. Zhao, G. Liu, H. Li, and M. Pietikainen, "3D gait recognition using multiple cameras," in Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, Southampton, 2006, pp. 529-534. http://dx.doi.org/10.1109/FGR.2006.2
  12. H. Lee, S. Hong, and E. Kim, "An efficient gait recognition with backpack removal," EURASIP Journal on Advances in Signal Processing, vol. 2009, Oct. 2009. http://dx.doi.org/10.1155/2009/384384
  13. P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. Bowyer, "Baseline results for the challenge problem of HumanID using gait analysis," in Proceedings of 5th IEEE International Conference on Automatic Face and Gesture Recognition, Washington DC, 2002, pp. 130-135. http://dx.doi.org/10.1109/AFGR.2002.1004145
  14. R. T. Collins, R. Gross, and J. Shi, "Silhouette-based human identification from body shape and gait," in Proceedings of the 5th International Conference on Automatic Face and Gesture Recognition, Washington DC, 2002, pp. 366-371. http://dx.doi.org/10.1109/AFGR.2002.1004181
  15. G. V. Narasimhulu and S. A. K. Jilani, "Gait recognition: a survey," International Journal of Electronics Communication and Computer Engineering, vol. 3, no. 1, pp. 33-40, 2012.
  16. I. T. Jolliffe, Principal Component Analysis. 2nd ed., New York: Springer, 2002.
  17. E. E. Cowley, T. L. Chevalier, and N. Chockalingam, "The effect of heel height on gait and posture: a review of the literature," Journal of the American Podiatric Medical Association, vol. 99, no. 6, pp. 512-518, Nov. 2009. https://doi.org/10.7547/0990512

피인용 문헌

  1. Recognition of a Person Wearing Sport Shoes or High Heels through Gait Using Two Types of Sensors vol.18, pp.5, 2018, https://doi.org/10.3390/s18051639
  2. Effect of Heel Height and Speed on Gait, and the Relationship Among the Factors and Gait Variables vol.35, pp.1, 2016, https://doi.org/10.5143/JESK.2016.35.1.39