Gait Recognition System Using Support Vector Machine and Neural Network.
Gait is a particular way or manner of moving on foot, whereas, gait recognition is the process of identifying an individual by the manner in which they walk. Gait is less unobtrusive biometric, which offers the possibility to identify people at a distance, without any interaction or co-operation fro...
| Publicado en: | Journal of Basrah Researches (Sciences) Vol. 40; no. 4A; pp. 68 - 79 |
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| Autores principales: | , |
| Formato: | Artículo |
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Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR)
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=101387876&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 101387876 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18172695 GYGY jtl: Journal of Basrah Researches (Sciences) issn: 18172695 maglogo: N pubinfo: dt: 2014 vid: 40 iid: 4A pid: 25427 pub: Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) artinfo: ui: 101387876 ppf: 68 ppct: 11 formats: tig: atl: Gait Recognition System Using Support Vector Machine and Neural Network. aug: au: Hassin AL-Asadi, Abbas Hanon Talal AL-Abadi, Entesar Barges affil: Departtment of Computer Science, College of Science, University of Basra su: Support vector machines Artificial neural networks Pattern recognition systems Biometric identification Algorithms MatLab (Computer software) sug: subj: Support vector machines Artificial neural networks Pattern recognition systems Biometric identification Algorithms MatLab (Computer software) keyword: Eigen Background Gait Gait Recognition Neural Network. Support Vector Machine ab: Gait is a particular way or manner of moving on foot, whereas, gait recognition is the process of identifying an individual by the manner in which they walk. Gait is less unobtrusive biometric, which offers the possibility to identify people at a distance, without any interaction or co-operation from the subject; this is the property which makes it so attractive. This paper proposed a new method for gait recognition. In this method, firstly binary silhouette of a walking person is detected from each frame by using Eigen background method. Secondly, gait cycle is detected by using aspect ratio method; thirdly, features from each frame in gait cycle are extracted by combine two methods: model base and model free. Finally, support vector machine and neural network are used for training and testing purposes. Experimental results show that our algorithm is robust and efficient, project is designed by Matlab. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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