BIOLOGICAL AND MEDICAL IMAGING

Video analysis of gait for diagnosing movement disorders

[+] Author Affiliations
R. D. Green, L. Guan

University of Sydney, Department of Electrical Engineering, New South Wales?2006, Australia

J. A. Burne

University of Sydney, Department of Biomedical Science, New South Wales?2006, Australia

J. Electron. Imaging. 9(1), 16-21 (Jan 01, 2000). doi:10.1117/1.482723
History: Received Oct. 5, 1998; Revised May 26, 1999; Revised Nov. 17, 1999; Accepted Nov. 18, 1999
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Abstract

This paper describes a video analysis system, free of markers and setup procedures, that quantitatively identified gait abnormalities in real time from standard video images. A novel color three-dimensional body model was sized and texture mapped to the exact characteristics of a person from video images. The kinematics of the body model was represented by a transformation tree to track the position and orientation of a person relative to the camera. Joint angles were used to track the location and orientation of each body part, with the range of joint angles being constrained by associating degrees of freedom with each joint. To stabilize tracking, the joint angles were estimated for the next frame. The calculation of joint angles, for the next frame, was cast as an estimation problem, which was solved using an iterated extended Kalman filter. Patients with dopa-responsive Parkinsonism, and age-matched normals, were video taped during several gait cycles with walking movements successfully tracked and classified. The results suggested that this approach has the potential to guide clinicians on the relative sensitivity of specific postural/gait features in diagnosis. © 2000 SPIE and IS&T.

© 2000 SPIE and IS&T

Citation

R. D. Green ; L. Guan and J. A. Burne
"Video analysis of gait for diagnosing movement disorders", J. Electron. Imaging. 9(1), 16-21 (Jan 01, 2000). ; http://dx.doi.org/10.1117/1.482723


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