Temporal Motion Models for Monocular and Multiview 3–D Human Body Tracking
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There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and seek to avoid becoming trapped into local minima by considering multiple hypotheses, whi ...
To increase the reliability of existing human motion tracking algorithms, we propose a method for imposing limits on the underlying hierarchical joint structures in a way that is true to life. Unlike most existing approaches, we explicitly represent depend ...
Automatic meeting analysis is an emerging research field. In this paper, we present stochastic algorithms for tracking people in multi-sensor meeting rooms, for a number of relevant tasks, including tracking multiple people, tracking head pose towards anal ...
By contrast, in this paper, we use temporal motion models based on Principal Component Analysis to formulate the tracking problem as one of minimizing differentiable objective functions. The differential structure of these functions is rich enough to yield ...
We propose an approach to gait analysis that relies on fitting 3--D temporal motion models to synchronized video sequences. These models allow us not only to track but also to recover motion parameters that can be used to recognize people and characterize ...
An iterative and decoupled method is proposed for solving the general active/reactive constrained power flow problem, based on rectangular coordinates of injected currents. Successive linear programming with dual-relaxation method is used. The general obje ...
We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3--D reconstructions from monocular sequences. We formulate the tracking problem is terms of minimizing a differentiable criterion whose differenti ...
Identifying a precise anatomic skeleton is important in order to ensure high-quality motion capture. In this paper, we discuss two skeleton-fitting techniques based on 3D optical marker data. First, a local technique is proposed, based on relative marker t ...