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Gait Recognition With Manifold Learning And Fusion Of Multiple Views

Posted on:2009-12-09Degree:MasterType:Thesis
Country:ChinaCandidate:H B MaFull Text:PDF
GTID:2178360245480127Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Today, the security is becomes more important, researchers take more attention to biometric recognition with the favorable security, validity and hard replace. Gait recognition attract the eyeballs of more and more researchers because of non-contact and far distance, which make use of the human walking pattern to recognition and identify, and executed backdoor.In this paper, gait recognition technique based on machine learning and fusion of multi-view is researched. And gait feature description, dimensionality reduction with manifold learning and single view and fusion of multiple views gait recognition are the mainly content. Firstly we give a new gait feature describe method—dynamic gait energy image based on the method gait energy image, due to some parts of human body are transacted background at direction 0, and which avoid the negative effect of the non-moving parts at direction 45 and 90. When people get the knapsack, we only use the information of the leg, but throw away the information of the upside. Secondly we use the method principal component analysis (PCA) + locality preserving projections (LPP), get the better recognition result with the lower dimension. Thirdly the fusion method is used with the gait image sequence of three views (direction 0, direction 45 and direction 90). It solves the problem that feature is not enough in single view. Lastly the method above is tested in three gait databases (NPLSR, CASIA and timer shoot), and the results indicate that gait recognition using multiple views information fusion can obtain higher recognition rate than any other single view.Meanwhile, a online gait recognition system is built, the method above is used, this is a attempt that gait recognition used in practical process, and it is a tested flat for gait recognition.
Keywords/Search Tags:Gait recognition, Locality preserving projections (LPP), Dynamic gait energy image, Information fusion, Dempster - shafer(D-S) evidential theory
PDF Full Text Request
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