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A Review on Triangle based Techniques in Biometric Gait Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 121 - Number 7 |
| Year of Publication: 2015 |
| Authors: Monika Jhapate, Lalitesh Choudhary, Ravi Singh Pippal |
10.5120/21550-4571
|
Monika Jhapate, Lalitesh Choudhary, Ravi Singh Pippal . A Review on Triangle based Techniques in Biometric Gait Recognition. International Journal of Computer Applications. 121, 7 ( July 2015), 6-9. DOI=10.5120/21550-4571
Abstract
Biometric system is an analysis of unique biological features of human being. The purpose is used for human security and identification. Different conventional biometric (such as face recognition, iris, fingerprint, etc. ) methods are used for security and identification purpose, but they can capture only by physical control or at a close distance from record search. Gait on a behavioral biometric has attracted more attention recently because it can capture at a distance with requiring the earlier consent of the observed object. This survey paper covers the current trends and method of Gait based surveillance system using triangle methods and compare them.
References
- Jyoti Bharti, M. K. Gupta, "Gait Recognition with Geometric Characteristic and Fuzzy Logic", Canadian Journal on Image Processing and Computer Vision Vol. 3 No. 1, March 2012.
- Xuelong Li, Stephen J. Maybank,Shuicheng Yan, Dacheng Ta, and Dong Xu,"Gait Components and Their Application to Gender Recognition", IEEE Transactions on Systems, Man, and Cybernetics, Part C Applications and Reviews, vol. 38, no. 2, March 20.
- D. M. Gavrila, The visual analysis of human movement: a survey, Computer Vision and Image Understanding, Vol. 73, no. 1, January, pp. 82-98, 1999.
- AI-Hua Wang, ji-Wei Liu, A gait recognition method based on positioning human body joints, proceedings of the 2007 international conference on wavelet analysis and pattern recognition, Beijing, China, 2-4 Nov, 2007.
- Arun Kumar Jhapate, Jasvinder Pal Singh, Gait Based Human Recognition System using Single Triangle IJCST Vol. 2, Issue 2, June 2011 ISSN : 2229 - 4 33 ( Print ) | ISSN : 0976-8491 (Online )
- Jasvinder Pal Singh, Sanjay Agrawal, An approach for human gait identification based on area, IOSR Journal of Computer Engineering (IOSR-JCE) e-SSN: 2278-0661, p- ISSN: 2278-8727Volume 10, Issue 3 (Mar. - Apr. 2013), PP 43-47.
- Mr. Atul Raghuwanshi Mr. Jayesh Surana, A Novel Method of Gait Recognition Using Fuzzy Inference System, International Journal Of Research In Advance Technology In Engineering (IJRATE) Volume 2, Issue 3, June 2014, ISSN: 2347 – 7806.
- Nikolaos V. Boulgouris, Dimitrios Hatzinakos, and Konstantinos N. Plataniotis, A challenging signal processing technology for biometric identification, IEEE Signal Processing Magazine,Vol-22, No- 6 pp 78-90, November 2005.
- James R. Gage, Peter A. Deluca, Thomas S. Renshaw, Gait Analysis Principles and Applications, The Journal of bone and joint surgery, vol. 77,1607-1623, 1995.
- Xuelong Li, Stephen j. Maybank, switching Yan, dancing too, and Dong Xu, gait components and their application to gender recognition, IEEE transactions on systems, man, and cybernetics—part c: applications and reviews, vol. 38, no. 2, march 2008.
- Ryuhei Okuno, Satoshi Fujimoto, Jun Akazawa, Masaru Yokoe, Saburo Sakoda and Kenzo Akazawa, 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008.
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