Kingston University
Kingston University
Other publications by Jean-Christophe Nebel

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

J. Martinez del Rincon, D. Makris, C. Orrite-Urunuela and J.-C. Nebel

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
40 (4), 2010
[PDF]

Abstract
In this paper, a novel framework for visual tracking of human body parts is introduced. The presented approach demonstrates the feasibility of recovering human poses with data from a single uncalibrated camera using a limb tracking system based on a 2D articulated model and a double tracking strategy. Its key contribution is that the 2D model is only constrained by biomechanical knowledge about human bipedal motion, instead of relying on constraints linked to a specific activity or camera view. These characteristics make our approach suitable for real visual surveillance applications. Experiments on a set of indoor and outdoor sequences demonstrate the effectiveness of our method on tracking human lower body parts. Moreover, a detail comparison with current tracking methods is presented.

Cited by ( Google Scholar: 76, ISI Web of Knowledge: 29 & SCOPUS: 43 ): 85

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j.nebel@kingston.ac.uk