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Coping with full occlusion in fronto-normal gait by using missing data theory

Lee, TKM, Belkhatir, M and Sanei, S (2009) Coping with full occlusion in fronto-normal gait by using missing data theory In: ICICS 2009, 2009-12-08 - 2009-12-10, Macau, China.

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Gait is a relatively new biometric which shows promise in its use. In this paper, we examine the monocular frontal view of gait. When tracking body parts in this view, complete occlusion of body parts may occur. To compensate for this, we offer a fresh standpoint where occluded data may be considered as data missing from a time series. Thus we can consider this as a novel application of the "missing data" problem studied in other fields dealing with time series data. Using this approach, we consider three ways of coping with occlusion by using a gait dataset and analysing the motion of coloured markers attached to body parts. The occluded motions are compensated for and the actual and predicted positions are compared which show our approach has promise for coping with complete occlusion. © 2009 IEEE.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Lee, TKM
Belkhatir, M
Sanei, S
Date : 2009
DOI : 10.1109/ICICS.2009.5397506
Contributors :
Additional Information : © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:13
Last Modified : 31 Oct 2017 14:55

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