Human Gait Tracking Based on Linear Model Fitting

Authors:
Zhihui Li;Fenggang Huang
Affiliations:
Harbin Engineering University, China;Harbin Engineering University, China
Venue:
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 1 (IMSCCS'06) - Volume 01
Year:
2006

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Cited 1

Automatic Gait Recognition Using Weighted Binary Pattern on Video

AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance

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Abstract

This paper presents a method of human gait tracking, which determines the parameters -joint angles of human motion by linear model fitting. First a 3D model of human body is designed then the joint angles are computed according to the contour corresponding to the model components. This method combines the 3D model of human body and contour information in images to get the joint angles of human body. It is more accurate and faster than the other methods of same kind. This paper gives the experimental results and the solutions to the problems met in the application.