Title :
Visual Tracking Based on 3D Probabilistic Reconstruction
Author :
Simas, Gisele ; De Bem, Rodrigo ; Novelo, Lucas ; Fickel, Guilherme ; Botelho, Silvia
Author_Institution :
Centro de Cienc. Computacionais - C3, Univ. Fed. do Rio Grande - FURG, Rio Grande, Brazil
Abstract :
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.
Keywords :
expectation-maximisation algorithm; image reconstruction; image representation; target tracking; 3D probabilistic occupancy grids; 3D probabilistic reconstruction; Gaussians blobs; expectation-maximization algorithm; multicamera environments; object representation model; visual tracking; volumetric reconstruction technique; Cameras; Conferences; Data mining; Expectation-maximization algorithms; Gaussian processes; Image reconstruction; Motion estimation; Proposals; Systems engineering and theory; Target tracking; 3D probabilistic reconstruction; 3D visual tracking; volumetric reconstruction;
Conference_Titel :
Engineering of Computer Based Systems (ECBS), 2010 17th IEEE International Conference and Workshops on
Conference_Location :
Oxford
Print_ISBN :
978-1-4244-6537-8
Electronic_ISBN :
978-1-4244-6538-5
DOI :
10.1109/ECBS.2010.53
