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Content Provider | IET Digital Library |
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Author | Switonski, Adam Krzeszowski, Tomasz Josinski, Henryk Kwolek, Bogdan Wojciechowski, Konrad |
Abstract | In this study, a framework for view-invariant gait recognition on the basis of markerless motion tracking and dynamic time warping (DTW) transform is presented. The system consists of a proposed markerless motion capture system as well as introduced classification method of mocap data. The markerless system estimates the three-dimensional locations of skeleton driven joints. Such skeleton-driven point clouds represent poses over time. The authors align point clouds in every pair of frames by calculating the minimal sum of squared distances between the corresponding joints. A point cloud distance measure with temporal context has been utilised in k-nearest neighbours algorithm to compare time instants of motion sequences. To enhance the generalisation of the recognition and to shorten the processing time, for every individual a single multidimensional time series among several multidimensional time series describing the individual's gait is established. The correct classification rate has been determined on the basis of a real dataset of human gait. It contains 230 gait cycles of 22 subjects. The tracking results on the basis of markerless motion capture are referenced to Vicon system, whereas the achieved accuracies of recognition are compared with the ones obtained by DTW that is based on rotational data. |
Starting Page | 415 |
Ending Page | 422 |
Page Count | 8 |
ISSN | 20474938 |
Volume Number | 7 |
e-ISSN | 20474946 |
Issue Number | Issue 5, Sep (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-bmt/7/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0134 |
Journal | IET Biometrics |
Publisher Date | 2018-01-03 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Classification Method Computer Vision And Image Processing Technique DTW Transform Dynamic Time Warping Transform Gait Analysis Gait Recognition Image Classification Image Motion Analysis Image Recognition Image Sequence Integral Transforms K-nearest Neighbours Algorithm Knowledge Engineering Technique Learning in AI Markerless Motion Capture System Markerless Motion Tracking Motion Sequence Multidimensional Time Series Object Tracking Skeleton-driven Point Clouds Time Series Transform View-invariant Gait Recognition |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Computer Vision and Pattern Recognition Software |
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