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Research On Gait Recognition Based On View-Normalization

Posted on:2018-09-12Degree:MasterType:Thesis
Country:ChinaCandidate:F YangFull Text:PDF
GTID:2348330533462723Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Along with the deepening of intelligence,the security in public places is increasingly serious,and how to ensure the public security has become the focus of public concern and attention,while the effective identification technology is the key to ensure public security.Biological characteristics are widely used in intelligent monitoring areas based on its advantages of security,stability,reliability,and so on.Compared with face,fingerprints et al,gait is favored by a large number of researchers because of its superiority of non-invasive,non-contact and difficult to hide.In recent years,Multi-view gait recognition has always been a hotspot in gait recognition.So under the background of multi-view gait recognition,this paper mainly focuses on the extraction of gait features and the normalization of perspective.The main work done in this paper is as follows:Firstly,extract object adopting background difference method.In order to solve the problem of noise and disconnection in the object image,the morphological method is used to denoise,and the connected region analysis is carried out to obtain a more complete binarized gait image.Gait is a periodic motion,and gait changes in a cycle can better reflect the movement characteristic of a human.Therefore,this paper detects gait cycle according to the change of the gait silhouette width,and then normalizes the gait image.Secondly,the gait image sequence of human not only contains the static gait information,but also the change of the adjacent gait implies the rich dynamic information.While the commonly used gait energy image and gait frame difference energy image only consider the static information and some dynamic information,so this paper introduces entropy describing uncertainty to gait frame difference energy image,proposes gait frame difference entropy image to describe gait feature,and then uses the nearest neighbor classification method to complete recognition.Lastly,In order to solve the problem of complex process and large computation in the multi-view gait recognition,this paper proposes a method of view normalization based on low rank optimization to recognize gait.On the basis of gait feature image,the gait feature image at any view are normalized to the view with the minimum rank using the method of low rank optimization,and then the nearest neighbor classification method is adopted to recognize gait at cross-view.The experimental results show that the recognition rate of gait frame difference entropy image proposed in this paper is higher than gait energy image and gait frame difference energy image,and the view normalization gait recognition method based on gait frame difference entropy image improves the recognition rate at cross-view to some extent.
Keywords/Search Tags:gait recognition, gait frame difference entropy image, view-normalization, nearest neighbor classification
PDF Full Text Request
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