Unsupervised clustering of people from 'skeleton' data

HRI'12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction

Volumn , Issue , 2012, Pages 225-226

  Ball, Adrian ^a   Rye, David ^a   Ramos, Fabio ^a   Velonaki, Mari ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

gait analysis; hri; unsupervised clustering

Indexed keywords

HRI; K-MEANS ALGORITHM; MICROSOFT; PILOT STUDIES; UNSUPERVISED CLUSTERING; UNSUPERVISED CLUSTERING ALGORITHM; WALKING GAIT;

CLUSTERING ALGORITHMS; GAIT ANALYSIS; HUMAN COMPUTER INTERACTION; HUMAN ROBOT INTERACTION; MAN MACHINE SYSTEMS;

MUSCULOSKELETAL SYSTEM;

EID: 84859997963     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2157689.2157767     Document Type: Conference Paper

References (13)

1. A. Ball, D. Rye, F. Ramos, and M. Velonaki. A comparison of unsupervised learning algorithms for gesture clustering. In Proc. 6th Int. Conf. on Human-Robot Interaction, pages 111-112. ACM, 2011.
2. C. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
3. N. Borghese, L. Bianchi, and F. Lacquaniti. Kinematic determinants of human locomotion. J. Physiology, 494(3):863, 1996.
4. R. Duda, P. Hart, and D. Stork. Pattern Classification, volume 2. Wiley, 2001.
5. W. Isa, R. Sudirman, and S. Sh-Salleh. Angular features analysis for gait recognition. In Proc. 1st Int. Conf. on Computers, Communications, & Signal Processing, 2005, pages 236-238, 2005.
6. H. Lee, S. Hong, and E. Kim. An efficient gait recognition based on a selective neural network ensemble. Int. J. Imaging Systems and Technology, 18(4):237-241, 2008.
7. Y. Makihara, H. Mannami, and Y. Yagi. Gait analysis of gender and age using a large-scale multi-view gait database. Computer Vision-ACCV 2010, pages 440-451, 2011.
8. A. Mori, Y. Makihara, and Y. Yagi. Gait recognition using period-based phase synchronization for low frame-rate videos. In 20th Int. Conf. on Pattern Recognition, pages 2194 -2197, 2010.
9. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from single depth images. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, volume 2, pages 1297-1304, 2011.
10. H. Su, Z. Liao, and G. Chen. A gait recognition method using L1-PCA and LDA. In Proc. 2009 Int. Conf. on Machine Learning and Cybernetics, volume 6, pages 3198-3203, 2009.
11. L. Wang, T. Tan, H. Ning, and W. Hu. Silhouette analysis-based gait recognition for human identification. IEEE Trans. Pattern Analysis and Machine Intelligence, 25(12):1505-1518, 2003.
12. R. Zhang, C. Vogler, and D. Metaxas. Human gait recognition. In 2004 IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition Workshops, pages 18-18, 2004.
13. X. Zhou and B. Bhanu. Integrating face and gait for human recognition. In 2004 IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition Workshops, pages 55-55, 2006.