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30 May 2000 Analysis and tracking of human gait via a marker-free system
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Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000)
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elodie F. Calais and Louis Legrand "Analysis and tracking of human gait via a marker-free system", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000);

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