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An optical flow probabilistic observation model for tracking

11 years 7 days ago
An optical flow probabilistic observation model for tracking
In this paper, we define an observation model based on optical flow information to track objects using particle filter algorithms. Although the optical flow information enables us to know the displacement of objects present in a scene, it cannot be used directly to displace an object model since flow calculation techniques lack the necessary precision. In view of the fact that probabilistic tracking algorithms enable imprecise or incomplete information to be handled naturally, these models have been used as a natural means of incorporating flow information into the tracking.
Antonio Garrido Carrillo, José M. Fuertes,
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Antonio Garrido Carrillo, José M. Fuertes, Manuel J. Lucena, Nicolas Pérez de la Blanca
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