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Titolo:
Marker detection and trajectory generation algorithms for a multicamera based gait analysis system
Autore:
Shafiq, MS; Tumer, ST; Guler, HC;
Indirizzi:
Middle E Tech Univ, Dept Mech Engn, TR-06531 Ankara, Turkey Middle E Tech Univ Ankara Turkey TR-06531 Engn, TR-06531 Ankara, Turkey Bertec Corp, Worthington, OH 43229 USA Bertec Corp Worthington OH USA 43229 rtec Corp, Worthington, OH 43229 USA Ohio State Univ, Dept Mech Engn, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 t Mech Engn, Columbus, OH 43210 USA
Titolo Testata:
MECHATRONICS
fascicolo: 4, volume: 11, anno: 2001,
pagine: 409 - 437
SICI:
0957-4158(200106)11:4<409:MDATGA>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Keywords:
gait analysis (software); multicamera marker based motion analysis; pixel grouping and marker detection; 3D reconstruction; motion tracking; trajectory generation; image matching; epipolar lines;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
10
Recensione:
Indirizzi per estratti:
Indirizzo: Tumer, ST Middle E Tech Univ, Dept Mech Engn, TR-06531 Ankara, Turkey Middle E Tech Univ Ankara Turkey TR-06531 06531 Ankara, Turkey
Citazione:
M.S. Shafiq et al., "Marker detection and trajectory generation algorithms for a multicamera based gait analysis system", MECHATRONIC, 11(4), 2001, pp. 409-437

Abstract

The current gait analysis methodology requires tracking of markers placed on the body segments of the lower extremities, by using multiple camera images while tl-ie subject is walking. This study was aimed at the developmentof application software for the multicamera marker based gait analysis system established at the Middle East Technical University. The main functionsof this software are pixel grouping. marker detection and generation of three-dimensional (3D) marker trajectories. The software removes noise and artefacts, and effectively detects the physical markers which may be closely spaced and even overlapped on some camera images. Then, the images in different cameras are matched by utilising the concept of epipolar lines, and 3Dco-ordinates of markers are determined for each matching group at every field. Finally, matching of each marker in successive fields is accomplished by employing a set of extrapolation algorithms. thus yielding the required 3D marker trajectories. This paper presents theory, algorithms and implementation of the developed software, as well as an assessment of its performance. In addition to gait analysis for clinical and research purposes. the developed algorithms can find application in sports. 3D computer animation and motion analysis of mechanical constructions. (C) 2000 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 01:39:13