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Graduate Profiles 2012 - National University of Science and ...

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GAIT RECOGNITION SYSTEMThe dem<strong>and</strong> for a reliable <strong>and</strong> robust personal identification system arises astechnology advances <strong>and</strong> develops. A biometric system is the key to provide a moresecure <strong>and</strong> reliable personal identification system. A biometric system verifies useridentity by comparing the behavioral or physiological trait possessed by the user to apreviously stored sample <strong>of</strong> the trait.Among them, Gait recognition system is gaining popularity <strong>and</strong> has emerged as newtechnology. Human identification at a distance has recently gained enormous interestamong computer vision researchers. Gait recognition aims essentially to address thisproblem by recognizing people based on the way they walk.The objective <strong>of</strong> the project proposed is to provide a Gait biometric identification systemwhich is prone to data theft <strong>and</strong> is cost effective as compared to other biometricsystems. The proposed system is evaluated using gait databases <strong>and</strong> theexperimentation on outdoor video sequences demonstrates that the proposed algorithmachieves a pleasing recognition performance.With mounting dem<strong>and</strong>s for visual surveillance systems, human identification at adistance has recently emerged as an area <strong>of</strong> significant interest. Gait is beingconsidered as an impending behavioral feature <strong>and</strong> many allied studies have illustratedthat it can be used as a valuable biometric feature for human recognition. Thedevelopment <strong>of</strong> computer vision techniques has also assured that vision basedautomatic gait analysis can be gradually achieved. The proposed system has beentested on the gait databases <strong>and</strong>, the extensive experimental results on outdoor imagesequences demonstrated that the proposed system possesses a pleasing recognitionperformance.Syndicate Members: Muneeb Ullah KhanMuneeb Ilyas BhattiSaleh MuhammadSupervisor:Dr Adil Masood Siddiqi21

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