Title :
Non-invasive 3D dynamic object analysis
Author :
Sharman, Karl J. ; Nixon, Mark S. ; Carter, John N.
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Abstract :
A non-invasive system is required to obtain three-dimensional subject extraction and description for recognition by gait. Of current three-dimensional systems, multi-view approaches appear to be the most suitable. To handle not only concavities, but also noise and occlusion, the volume intersection approach has been formulated as an evidence gathering process for moving object extraction. Results on synthetic imagery show that the technique does indeed process a multi-view image sequence to derive parameters of interest as such giving a suitable basis for development as a marker-less gait analysis system
Keywords :
feature extraction; gait analysis; image sequences; learning (artificial intelligence); motion estimation; object recognition; 3D dynamic object analysis; evidence gathering; gait recognition; image sequence; marker-less gait analysis; moving object extraction; multi-view approaches; non-invasive system; three-dimensional subject extraction; volume intersection approach; Computer science; Electrical capacitance tomography; Electronic switching systems; Humans; Image analysis; Image sequence analysis; Image sequences; Intersymbol interference; Leg; Videos;
Conference_Titel :
Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
Conference_Location :
Austin, TX
Print_ISBN :
0-7695-0595-3
DOI :
10.1109/IAI.2000.839602
