Tracking human position and lower body parts using Kalman and particle filters constrained by human biomechanics

Martinez del Rincon, J., Makris, D., Urunuela, C.O. and Nebel, J-C. (2011) Tracking human position and lower body parts using Kalman and particle filters constrained by human biomechanics. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 41(1), pp. 26-37. ISSN (print) 1083-4419

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Item Type: Article
Additional Information: This work was supported by the Engineering and Physical Sciences Research Council [grant numbers EP/E001025/1 and EP/E033288]; the Spanish Ministry of Education [grant number TIN2006-11044] the Fondo Europeo de Desarrollo Regional and the Spanish Ministry of Education and Science [grant number BES-2004-3741].
Uncontrolled Keywords: biomechanics, bipedal motion, human pose, particle filter, video surveillance, 2-d articulated model, human motion, propagation, recognition, pose, sequences, gait
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Computing, Information Systems and Mathematics (until 2011)
Faculty of Computing, Information Systems and Mathematics (until 2011) > Digital Imaging Research Centre (DIRC)
Depositing User: Automatic Import Agent
Date Deposited: 03 May 2011 14:34
Last Modified: 09 Dec 2011 16:10
URI: http://eprints.kingston.ac.uk/id/eprint/18303

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