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Proceedings Paper

Analysis and tracking of human gait via a marker-free system
Author(s): Elodie F. Calais; Louis Legrand
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Paper Abstract

This paper presents a marker-free methodology for facilitating the analysis and tracking of human motion during gait. It consists of recognition and reconstruction of the legs of a walking human. In order to study the gait, a video system composed of three synchronized CCD cameras has been devised. It provides three different grey level image sequences of the same scene. First of all, a model of the human, based on tapered superquadric curves, has been defined; the leg can be divided into three parts: the thigh, the calf, and the foot. The whole methodology can be split following this scheme: determination of the boundaries of the human in motion by using successively an optical flow process and a crest lines extraction algorithm, prediction of the location of the human body in the 3D space, direct reconstruction of each part of the leg with a Least Median of Squares regression, and finally application of a spatial coherence process. The method described has been tested on synthetic images (mean error of about 1.2 mm and a maximal error of about 5 mm along the coordinate axes) and on image sequences of a walking human.

Paper Details

Date Published: 30 May 2000
PDF: 9 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386640
Show Author Affiliations
Elodie F. Calais, Univ. de Bourgogne (France)
Louis Legrand, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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