3D Human Body Tracking using Deterministic Temporal Motion ModelsReport as inadecuate

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Publication date: 2004

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 good convergence properties using a deterministic optimization scheme at a much reduced computational cost. Furthermore, by using a multi-activity database, we can partially overcome one of the major limitations of approaches that rely on motion models, namely the fact they are limited to one single type of motion. We will demonstrate the effectiveness of the proposed approach by using it to fit full-body models to stereo data of people walking and running and whose quality is too low to yield satisfactory results without motion models.

Keywords: tracking ; motion models ; optimization Reference EPFL-REPORT-52595View record in Web of Science

Author: Urtasun, Raquel; Fua, Pascal

Source: https://infoscience.epfl.ch/record/52595?ln=en


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