Model-driven statistical analysis of human gait motion

Yoo, Jang H, Nixon, Mark S and Harris, Chris J (2002) Model-driven statistical analysis of human gait motion. ICIP 2002 International Conference on Image Processing, Rochester, NY, United States. 22 - 25 Sep 2002. pp. 285-288 .

Record type: Conference or Workshop Item (Other)

Abstract

We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by trigonometric-polynomial interpolant functions. The gait description is derived by topological analysis guided by medical studies that selects areas from which joint angles are derived by regression analysis. Then, the interpolant functions are fitted to the gait data and whilst showing fidelity to earlier medical studies, also show recognition capability. As such, a new combination of medical knowledge, image processing and regression analysis can be used to label human motion in image sequences.

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Published date: 2002

Additional Information: Event Dates: 22-25 Sept. 2002

Venue - Dates: ICIP 2002 International Conference on Image Processing, Rochester, NY, United States, 2002-09-22 - 2002-09-25

Keywords: computer-vision, feature-extraction, gait-analysis, image-motion-analysis, image-sequences, interpolation-, polynomial-approximation, statistical-analysis

Organisations: Southampton Wireless Group

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