Incremental model-based discrimination of articulated movement from motion features

Author

Goddard, Nigel H.

Author_Institution

Pittsburgh Supercomput. Center, PA, USA

fYear

1994

fDate

11-12 Nov 1994

Firstpage

89

Lastpage

94

Abstract

Discrimination of articulated movement is a central problem in perception. We present a model-based system designed to discriminate articulated movements and demonstrate its capabilities in distinguishing three human gaits. Recognition proceeds directly from uninterpreted visual motion features. The adaptive model of movement, the scenario, is based on discrete parameterized events separated by parameterized time intervals. Experimental results are shown for real data derived from moving light displays, demonstrating the effectiveness of the structured connectionist approach

Keywords

biomechanics; feature extraction; image recognition; motion estimation; adaptive model; articulated movement; discrete parameterized events; human gaits; incremental model-based discrimination; model-based system; motion features; moving light displays; parameterized time intervals; perception; real data; structured connectionist approach; uninterpreted visual motion features; Costs; Displays; Feature extraction; Humans; Layout; Machine vision; Motion analysis; Process design; Text recognition; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Motion of Non-Rigid and Articulated Objects, 1994., Proceedings of the 1994 IEEE Workshop on

Conference_Location

Austin, TX

Print_ISBN

0-8186-6435-5

Type

conf

DOI

10.1109/MNRAO.1994.346250

Filename

346250