G. Simas, Rodrigo de Bem, L. Novelo, Guilherme P. Fickel, S. Botelho
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Visual Tracking Based on 3D Probabilistic Reconstruction
This paper presents an approach to the 3D visual tracking problem into multi-camera environments. This proposal executes the markerless visual tracking observing the environment through a model based in a volumetric reconstruction technique, called 3D Probabilistic Occupancy Grids, which is still seldom used for this purpose. The target is tracked by the use of Expectation-Maximization algorithm with an object representation model constructed with Gaussians blobs representing the object body parts.
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