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

    Research output: Contribution to journalArticlepeer-review

    Original languageEnglish
    Pages (from-to)26-37
    JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
    Volume41
    Issue number1
    DOIs
    Publication statusPublished - 2011

    Bibliographical note

    Note: 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].

    Keywords

    • biomechanics
    • bipedal motion
    • human pose
    • particle filter
    • video surveillance
    • 2-d articulated model
    • human motion
    • propagation
    • recognition
    • pose
    • sequences
    • gait
    • Computer science and informatics
    • Human Pose and Action Recognition

      Nebel, J.-C. (CoPI), Makris, D. (CoPI), Kuo, P. (Researcher), Lewandowski, M. (Researcher), Velastin, S. A. (CoI), Nazir, S. (CoI), Santofimia, M. J. (CoI) & Del Rincon, J. M. (Researcher)

      5/09/0721/06/19

      Project: Research & KE

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