Output details
11 - Computer Science and Informatics
Kingston University
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Output 0 of 0 in the submission
Article title
Tracking human position and lower body parts using Kalman and particle filters constrained by human biomechanics
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Article number
-
Volume number
41
Issue number
1
First page of article
26
ISSN of journal
1083-4419
Year of publication
2011
Number of additional authors
3
Additional information
<23> This paper tackles the problem of tracking human body parts from a single video. Its main novelty is that it only relies on a 2D model that is constrained by biomechanical knowledge about human bipedal motion, instead of constraints linked to a specific activity or camera. The relevance of this framework to visual surveillance scenarios where data are usually captured by a single CCTV camera has been confirmed by a high citation count, in addition to that of the preliminary results published at the BMVC’08 conference.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
4
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
