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Significant body point labeling and tracking
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Azhar, Faisal and Tjahjadi, Tardi (2014) Significant body point labeling and tracking. IEEE Transactions on Cybernetics, Volume 44 (Number 9). pp. 1673-1685. doi:10.1109/TCYB.2014.2303993 ISSN 2168-2267.
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WRAP_8471118-es-180814-azhartjahjadi-ieee-cybernetics2014.pdf - Accepted Version - Requires a PDF viewer. Download (1016Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TCYB.2014.2303993
Abstract
In this paper, a method is presented to label and track anatomical landmarks (e.g., head, hand/arm, feet), which are referred to as significant body points (SBPs), using implicit body models. By considering the human body as an inverted pendulum model, ellipse fitting and contour moments are applied to classify it as being in Stand, Sit, or Lie posture. A convex hull of the silhouette contour is used to determine the locations of SBPs. The particle filter or a motion flow-based method is used to predict SBPs in occlusion. Stick figures of various activities are generated by connecting the SBPs. The qualitative and quantitative evaluation show that the proposed method robustly labels and tracks SBPs in various activities of two different (low and high) resolution data sets.
Item Type: | Journal Article | ||||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Human mechanics -- Mathematical models, Computer vision | ||||||
Journal or Publication Title: | IEEE Transactions on Cybernetics | ||||||
Publisher: | IEEE Computer Society | ||||||
ISSN: | 2168-2267 | ||||||
Official Date: | 14 August 2014 | ||||||
Dates: |
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Volume: | Volume 44 | ||||||
Number: | Number 9 | ||||||
Page Range: | pp. 1673-1685 | ||||||
DOI: | 10.1109/TCYB.2014.2303993 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 27 December 2015 | ||||||
Date of first compliant Open Access: | 27 December 2015 | ||||||
Funder: | University of Warwick, University of Warwick. School of Engineering |
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