Gait and posture: technologies and algorithms for biometrics applications
In this tutorial, we're going to cover the background to gait as a biometric. We're going to consider studies in medicine, psychology, and literature, all of which have evidence that people can be recognized by the way that they walk. We are then going to look at databases that we can use...
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Format: | Elektronisch Video |
Sprache: | English |
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United States
IEEE
2010
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Online-Zugang: | FHN01 TUM01 |
Zusammenfassung: | In this tutorial, we're going to cover the background to gait as a biometric. We're going to consider studies in medicine, psychology, and literature, all of which have evidence that people can be recognized by the way that they walk. We are then going to look at databases that we can use to evaluate gait recognition potential. We will cover the three main databases that are in current use. The main techniques will be covered. We'll look at silhouette based techniques and model based techniques. These are the two main approaches, as they are in many biometrics. Although we have model-based face and holistic face, in gait recognition we have silhouette based and model based. We're then going to consider extensions to these techniques. Among the most important is viewpoint invariance. We will look at normalizing the signatures to be invariant to the relative viewpoint of the camera to the subject. We are then going to see how different shoes and different clothes affect the way you walk. In addition, we will look at a new database and a new system. We are going to cover the main components in automatic gait recognition, the main techniques, and the requirements of this new technology. We will use many sources of information, and so there are apologies if your own is missed, or perhaps your favorite technique is not covered. The references will either be on the page in which they are used, or the main ones will be collected together at the end of this talk. The aim is to show you that gait is a large and rapidly advancing field of research |
Beschreibung: | Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 13, 2020) |
Beschreibung: | 1 Online-Resource (1 Videodatei, 60 Minuten) color illustrations |
ISBN: | 9781424462162 |
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spelling | Nixon, Mark S. Verfasser aut Gait and posture technologies and algorithms for biometrics applications Mark S. Nixon United States IEEE 2010 1 Online-Resource (1 Videodatei, 60 Minuten) color illustrations tdi rdacontent c rdamedia cr rdacarrier Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 13, 2020) In this tutorial, we're going to cover the background to gait as a biometric. We're going to consider studies in medicine, psychology, and literature, all of which have evidence that people can be recognized by the way that they walk. We are then going to look at databases that we can use to evaluate gait recognition potential. We will cover the three main databases that are in current use. The main techniques will be covered. We'll look at silhouette based techniques and model based techniques. These are the two main approaches, as they are in many biometrics. Although we have model-based face and holistic face, in gait recognition we have silhouette based and model based. We're then going to consider extensions to these techniques. Among the most important is viewpoint invariance. We will look at normalizing the signatures to be invariant to the relative viewpoint of the camera to the subject. We are then going to see how different shoes and different clothes affect the way you walk. In addition, we will look at a new database and a new system. We are going to cover the main components in automatic gait recognition, the main techniques, and the requirements of this new technology. We will use many sources of information, and so there are apologies if your own is missed, or perhaps your favorite technique is not covered. The references will either be on the page in which they are used, or the main ones will be collected together at the end of this talk. The aim is to show you that gait is a large and rapidly advancing field of research Privacy Access control Psychology Authentication (DE-588)4017102-4 Film gnd-content |
spellingShingle | Nixon, Mark S. Gait and posture technologies and algorithms for biometrics applications Privacy Access control Psychology Authentication |
subject_GND | (DE-588)4017102-4 |
title | Gait and posture technologies and algorithms for biometrics applications |
title_auth | Gait and posture technologies and algorithms for biometrics applications |
title_exact_search | Gait and posture technologies and algorithms for biometrics applications |
title_exact_search_txtP | Gait and posture technologies and algorithms for biometrics applications |
title_full | Gait and posture technologies and algorithms for biometrics applications Mark S. Nixon |
title_fullStr | Gait and posture technologies and algorithms for biometrics applications Mark S. Nixon |
title_full_unstemmed | Gait and posture technologies and algorithms for biometrics applications Mark S. Nixon |
title_short | Gait and posture |
title_sort | gait and posture technologies and algorithms for biometrics applications |
title_sub | technologies and algorithms for biometrics applications |
topic | Privacy Access control Psychology Authentication |
topic_facet | Privacy Access control Psychology Authentication Film |
work_keys_str_mv | AT nixonmarks gaitandposturetechnologiesandalgorithmsforbiometricsapplications |