Gait recognition on the basis of markerless motion tracking and DTW transform

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 markerles...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IET biometrics Jg. 7; H. 5; S. 415 - 422
Hauptverfasser:	Switonski, Adam, Krzeszowski, Tomasz, Josinski, Henryk, Kwolek, Bogdan, Wojciechowski, Konrad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Stevenage The Institution of Engineering and Technology 01.09.2018 John Wiley & Sons, Inc
Schlagworte:	Algorithms Biomechanics Classification classification method DTW transform dynamic time warping transform Gait gait analysis Gait recognition Identification image classification image motion analysis image sequences Information processing k‐nearest neighbours algorithm learning (artificial intelligence) markerless motion capture system markerless motion tracking Methods Motion capture motion sequences multidimensional time series object tracking Research Article Sequences skeleton‐driven point clouds Time measurement Time series Tracking transforms view‐invariant gait recognition gait recognition image classification dynamic time warping transform k-nearest neighbours algorithm transforms time series markerless motion capture system multidimensional time series gait analysis DTW transform image motion analysis markerless motion tracking skeleton-driven point clouds object tracking classification method motion sequences learning (artificial intelligence) image sequences view-invariant gait recognition
ISSN:	2047-4938, 2047-4946, 2047-4946
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!