14 documents found, page 1 of 2
A spatiotemporal deep learning approach for automatic pathological Gait classif...
Albuquerque, P.; Verlekar, T.; Correia, P. L.; Soares, L. D.Human motion analysis provides useful information for the diagnosis and recovery assessment of people suffering from pathologies, such as those affecting the way of walking, i.e., gait. With recent developments in deep learning, state-of-the-art performance can now be achieved using a single 2D-RGB-camera-based gait analysis system, offering an objective assessment of gait-related pathologies. Such systems prov...
Remote Gait type classification system using markerless 2D video
Albuquerque, P.; Machado, J.; Verlekar, T.; Correia, P. L.; Soares, L. D.Several pathologies can alter the way people walk, i.e., their gait. Gait analysis can be used to detect such alterations and, therefore, help diagnose certain pathologies or assess people’s health and recovery. Simple vision-based systems have a considerable potential in this area, as they allow the capture of gait in unconstrained environments, such as at home or in a clinic, while the required computations c...
Gait recognition in the wild using shadow silhouettes
Verlekar, T. T.; Soares, L. D.; Correia, P. L.Gait recognition systems allow identification of users relying on features acquired from their body movement while walking. This paper discusses the main factors affecting the gait features that can be acquired from a 2D video sequence, proposing a taxonomy to classify them across four dimensions. It also explores the possibility of obtaining users’ gait features from the shadow silhouettes by proposing a novel...
Using transfer learning for classification of gait pathologies
Verlekar, T. T.; Correia, P. L.; Soares, L. D.Different diseases can affect an individual’s gait in different ways and, therefore, gait analysis can provide important insights into an individual’s health and well-being. Currently, most systems that perform gait analysis using 2D video are limited to simple binary classification of gait as being either normal or impaired. While some systems do perform gait classification across different pathologies, the re...
Automatic classification of gait impairments using a markerless 2D video-based ...
Verlekar, T. T.; Soares, L. D.; Correia, P. L.Systemic disorders affecting an individual can cause gait impairments. Successful acquisition and evaluation of features representing such impairments make it possible to estimate the severity of those disorders, which is important information for monitoring patients' health evolution. However, current state-of-the-art systems perform the acquisition and evaluation of these features in specially equipped labora...
Shadow type identification for gait recognition using shadows
Verlekar, T. T.; Soares, L. D.; Correia, P. L.\Using features acquired from the shadow cast by a walking person can be an alternative for gait recognition whenever the person’s body is occluded, such as when capturing images from an overhead position. However, the shadow, depending on the light source characteristics, can be cast as a blob with no distinguishing characteristics. Most state-of-the-art methods fail in the presence of such “diffused” shadows....
Gait recognition using normalized shadows
Verlekar, T. T.; Correia, P. L.; Soares, L. D.Surveillance of public spaces is often conducted with the help of cameras placed at elevated positions. Recently, drones with high resolution cameras have made it possible to perform overhead surveillance of critical spaces. However, images obtained in these conditions may not contain enough body features to allow conventional biometric recognition. This paper introduces a novel gait recognition system which us...
View-invariant gait recognition system using a gait energy image decomposition ...
Verlekar, T. T.; Correia, P. L.; Soares, L. D.Gait recognition systems can capture biometrical information from a distance and without the user's active cooperation, making them suitable for surveillance environments. However, there are two challenges for gait recognition that need to be solved, namely when: (i) the walking direction is unknown and/or (ii) the subject's appearance changes significantly due to different clothes being worn or items being car...
Sparse error gait image: a new representation for gait recognition
Verlekar, T.; Correia, P. L.; Soares, L. D.The performance of a gait recognition system is very much related to the usage of efficient feature representation and recognition modules. The first extracts features from an input image sequence to represent a user's distinctive gait pattern. The recognition module then compares the features of a probe user with those registered in the gallery database. This paper presents a novel gait feature representation,...
View-invariant gait recognition exploiting spatio-temporal information and a di...
Verlekar, T. T.; Correia, P. L.; Soares, L. D.In gait recognition, when subjects do not follow a known walking trajectory, the comparison against a database may be rendered impossible. Some proposed solutions rely on learning and mapping the appearance of silhouettes along various views, with some limitations caused for instance by appearance changes (e.g. coats or bags). The present paper discusses this problem and proposes a novel solution for automatic ...