Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Gait recognition"”.
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On a three-dimensional gait recognition system
… Tunnel is a high performance data-capture and recognition system; designed with airports and other busy public areas in mind. It is able to acquire a variety of non-contact biometrics in a non-intrusive manner, requiring minimal subject cooperation. The system uses twelve cameras to record gait …
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Enhancing gait recognition with 3D markerless motion capture
In recent years gait has increased in popularity as a biometric and gait recognition has matured into a larger field that is is attracting international interest. Most current state-of-the-art gait recognition systems use appearance-based methods which are fast and capable of high performance on …
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Feature Selection Using Genetic Algorithms for Human Gait Recognition
Many research studies have demonstrated that gait can serve as a useful biometric feature for human identification at a distance. Here we manifest the importance of feature selection in gait recognition systems. Feature selection is an important factor which impacts the classification accuracy. …
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Improving robustness of gait recognition based on deep learning
Gait recognition is a technology that identifies human ID according to the human unique biometric gait feature. It has two popular categories. One category of gait recognition methods is appearance-based algorithms, which usually extracts human silhouettes as the initial input feature and achieves …
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Sensor Fusion based Gait Recognition for Accurate Actuation of Foot Drop Stimulation
Foot drop is a walking (gait) disability resulting with defect in neural pathway to lower limb after a stroke or traumatic event. The foot drop patients mainly lack the forefoot lift (dorsiflexion) while swinging the foot forward. In some cases, excessive inward movement (inversion) during swing …
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The comparative study of model-based and appearance based gait recognition for leave bag behind
… society. This is why the need for criminal recognition using gait used for civilian and forensic analysis applications has evoked considerable interest. The literature accurate the result can be found in gait recognition by leave bag behind detection especially in the critical area examples …
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Techniques for orientation independent gait analysis
Gait recognition algorithms are being increasingly widely researched, however a common assumption is that the subject will be presented side on to the camera. In practice it may not be possible to capture data from this view, so a useful gait recognition algorithm will have to provide a measure of …
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Algorithms for Gait-Based Human Identification from a Monocular Video Sequence
Human gait is a spatio-temporal phenomenon that characterizes the motion characteristics of an individual. It is possible to detect and measure gait even in low-resolution video. This makes it an attractive modality in surveillance applications, where it is often difficult to get face or iris …
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An Investigation into the Relationship between Static and Dynamic Gait Features. A biometrics Perspective
… This unique attribute, such as fingerprints or gait, can be used for identification or verification purposes. Gait is an emerging biometrics with great potential. Gait recognition is based on recognizing a person by the manner in which they walk. Its potential lays in that it can be captured at …
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An Investigation into the Relationship between Static and Dynamic Gait Features. A biometrics Perspective
… This unique attribute, such as fingerprints or gait, can be used for identification or verification purposes. Gait is an emerging biometrics with great potential. Gait recognition is based on recognizing a person by the manner in which they walk. Its potential lays in that it can be captured at …
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Minimal Infrastructure Radio Frequency Home Localisation Systems
… are also made to the field of human gait-recognition by applying Bayesian filtering to the task of motion detection from accelerometers which are already present in many mobile phones. Bayesian filtering is demonstrated to enable a 35% improvement in motion recognition rate and even …
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Motion capture data processing, retrieval and recognition.
… enables motion data refinement, retrieval and recognition. The first part of this thesis introduces various methods used in existing motion capture processing approaches in literature and a brief introduction of relevant machine learning methods used in this framework. In general, the …
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Primena CBIR tehnika u biometrijskoj identifikaciji osoba na osnovu hoda
Intenzivan razvoj informaciono-komunikacionih tehnologija otvorio je vrata primeni biometrijskih tehnologija u menadžmentu identiteta. Biometrijski modalitet koji ima veliki potencijal za primenu u praksi je ljudski hod. Njega odlikuju neinvazivnost i neintruzivnost. Ovakve osobine posebno pogoduju …