Person identification using skeleton information from kinect

ACHI 2013 - 6th International Conference on Advances in Computer-Human Interactions

Volumn , Issue , 2013, Pages 101-108

  Sinha, Aniruddha ^a   Chakravarty, Kingshuk ^a   Bhowmick, Brojeshwar ^a  

^a TATA CONSULTANCY SERVICES   (India)

Author keywords

Adaptive artificial neural network(ANN); Connectionist system; Gait recognition; Kinect; Person identification

Indexed keywords

EID: 84885198666     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (32)

1. C. Liying, S. Qi, S. Han, C. Yang, Z. Shuying, "Design and implementation of human-robot interactive demonstration system based on Kinect", 24th Chinese Control and Decision Conference (CCDC), May 2012, pp.971-975.
2. Arras, K.O., Lau, B., Grzonka, S., Luber, M., Mozos, O.M., Meyer-Delius, D., Burgard, W. "Range-Based People Detection and Tracking for Socially Enabled Service Robots", Prassler, E., et al. (eds.) Towards Service Robots for Everyday Environ. STAR, vol. 76, pp. 235-280. Springer, Heidelberg 2012.
3. H. Uwe, H. Sebastian Hommel, B. Michael, and D. Michael, "Face Detection and Person Identification on Mobile Platforms", E. Prassler et al. (Eds.): Towards Service Robots for Everyday Environ. STAR 76, pp. 227-234. Springer, Heidelberg 2012.
4. http://www.idiap.ch/scientific-research/themes/biometricperson-recognition(last accessed on 9th Oct 2012)
5. X. Qinghan, "Technology review-Biometrics-Technology, Application, Challenge, and Computational Intelligence Solutions", IEEE Computational Intelligence Magazine 2007, vol.2, pp. 5-25.
6. D. Kim and J. Paik, "Gait recognition using active shape model and motion prediction", IET Computer Vision 2010, vol. 4, pp. 25-36.
7. N. Borghese, L. Bianchi, and F. Lacquaniti, "Kinematic determinants of human locomotion" J. Physiology 1996,494(3):863.
8. A. K. Jain, R. Bolle, and S. Pankanti, Biometrics: personal identication in networked society, Kluwer Academic Publishers 1999.
9. Amit Kale, Aravind Sundaresan, A. N. Rajagopalan, Naresh P. Cuntoor, Amit K. Roy-Chowdhury, VolkerKrügerand Rama Chellappa, "Identification of Humans Using Gait", IEEE Transactions On Image Processing September 2004, vol. 13, no. 9.
10. R. Zhang, C. Vogler, and D. Metaxas, "Human gait recognition", IEEE Comp. Soc. Conf. On Computer Vision and Pattern Recognition Workshops 2004, pages 18-18.
11. Wang, Jin, She, Mary, Nahavandi, Saeid and Kouzani, Abbas, "A review of vision-based gait recognition methods for human identification", DICTA 2010: Proceedings of the Digital Image Computing: Techniques and Application, IEEE, Piscataway, N.J., pp. 320-327.
12. C. BenAbdelkader, R. Cutler, and L. Davis, "Stride and cadence as a biometric in automatic person identification and verification", Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition 2002, pp. 372-377.
13. C. Yam, M. S. Nixon and J. N. Carter, "Automated person recognition by walking and running via model-based approaches", Pattern Recognition 2004, 37:1057-1072.
14. S. Sarkar, P. J. Phillips, Z. Liu, I. R. Vega, P. Grother, and K. W. Bowyer, "The humanIDgait challenge problem: data sets, performance and analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence 2005, vol. 27, pp. 162-177.
15. J. Han and B. Bhanu, 2, "Individual recognition using gait energy image", IEEE Transactions on Pattern Analysis and Machine Intelligence 2006, vol. 28, pp. 316-322.
16. A. F. Bobick and J. W. Davis, "The recognition of human movement using temporal templates", IEEE Transactions on Pattern Analysis and Machine Intelligence 2001, vol. 23, pp. 257-267.
17. L. Jianyi and Z. Nanning, 2007, "Gait History Image: A Novel Temporal Template for Gait Recognition", IEEE International Conference on Multimedia and Expo, 2007, pp. 663-666.
18. C. Chen, J. Liang, H. Zhao, H. Hu, and J. Tian,2009, "Frame difference energy image for gait recognition with incomplete silhouettes", Pattern Recognition Letters, vol. 30, pp. 977-984.
19. Z. Xue, D. Ming, W. Song, B. Wan, and S. Jin, "Infrared gait recognition based on wavelet transform and support vector machine," Pattern Recognition 2010, vol. 43, pp. 2904-2910.
20. W. Liang, T. Tieniu, N. Huazhong, and H. Weiming, "Silhouette analysis-based gait recognition for human identification," IEEE Transactions on Pattern Analysis and Machine Intelligence 2003, vol. 25, pp. 1505-1518.
21. Adrian Ball, David Rye, Fabio Ramos and Mari Velonaki, "Unsupervised Clustering of People from 'Skeleton' Data", HRI 2012, Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction, 2012.
22. Preis J., Kessel M., Werner M., Linnhoff-Popien C,"Gait Recognition with Kinect", 1stInternational Workshop on Kinect in Pervasive Computing, Newcastle, 2012.
23. S. Aravind, R. Amit, and C. Rama, "A hidden Markov model based framework for recognition of humans from gait sequences", Proceedings of the IEEE International Conference on Image Processing, 2003, pp. II-93-6 vol.3.
24. C. BenAbdelkader, R. Cutler, and L. Davis, "Motion-based recognition of people in EigenGait space", Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, 2002, pp. 267-272.
25. Y. Mu and D. Tao, "Biologically inspired feature manifold for gait, recognition", Neurocomputing 2010, vol. 73, pp. 895-902.
26. R. Hecht-Nielson, Neurocomputing, Addison-Wesley: New York, Chapter 5, 1990.
27. D. E. Rumelhart, G. E. Hinton and R. J. Williams, "Learning internal representations by error propagation", Institute for Cognitive Science Report 8506, San Diego: University of California, 1985.
28. W. W. Hager and H. Zhang, "A new conjugate gradient method with guaranteed descent and an efficient line search", SIAM J. Optim. 2005, 16, pages 170-192.
29. M. Hagiwara, "A simple and effective method for removal of hidden units and weights", Neurocomputing, vol. 6, pp. 207-218, 1994.
30. N. R. Pal and K. K. Chintalapudi, "A connectionist system for feature selection", Neural Parallel Sci. Comput. 1997, vol. 5, no. 3, pp. 359-381.
31. Chakraborty, D., Pal, N.R.: Selecting Useful Groups of Features in a Connectionist Framework., IEEE Transactions on Neural Network (2008), pp. 381-396
32. E. Anderson, "The irises of the Gaspe Peninsula," Bull. Amer. IRIS Soc., vol. 59, pp. 2-5, 1935