… This book develops one such theory for the field of visual tracking, using probabilistic models
… Hence, the book also demonstrates the use of this theory in real visual tracking systems. …

… peak, which has been shown beneficial for training tracking models [4]. Another source of …
We propose to probabilistically model label noise and task ambiguities for the regression …

… paper is the novel probabilistic local-motion model which improves tracking when a target is
… proximity of, a visually similar object. The proposed probabilistic model is composed of three …

… a probabilistic model of the traffic patterns in a scene. We show that the proposed model can
be applied toward various visual … visual tracking and surveillance, probabilistic graphical …

… This paper describes a novel approach to visual tracking of an object undergoing pushing
manipulation operations, in which a robot arm, equipped with a single rigid finger, applies a …

… algorithms through the use of a probabilistic model that integrates recognition results across
… of experiments shows that our probabilistic model offers considerably better robustness and …

… the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given
… to make sure that transitions are “smooth”, visually pleasing, and physically meaningful. For …

… layer that probabilistically models the target’s global visual properties, such as color, shape,
and apparent local motion. The global visual properties are updated during tracking using …

… Visual localisation and tracking of persons is one of the most active research topics in the …
the probabilistic modelling of the dynamic system states of multiple persons, the model allows …

… parametric model, an estimator is a procedure for finding the parameters of the model which
… In the next section, we review the probabilistic foundations of the visual tracking problem. In …