8 - Suivi du corps humain par vision monoculaire
1996
This article describes a tracking method of 3D articulated complex objects (for example, the human body), from a monocular
sequence of perspective images . These objects and their associated articulations must be modelled . The principle of the method
is based on the interpretation of image features as the 3D perspective projections points of the object model and an iterativ e
Levenberg-Marquardt process to compute the model pose in accordance with the analysed image .
This attitude is filtered (Kalman filter) to predict the model pose relative to the following image of the sequence . The image features
are extracted locally according to the computed prediction .
Tracking experiments, illustrated in this article by a cycling sequence, have been conducted to prove the validity of the approach.
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