The present invention provides for a method for tracking a number of objects or object parts in image sequences, comprising following a Bayesian-like approach to object tracking, computing, at each time a new image is available, a probability distribution over all possible target configurations for that time, said Bayesian-like approach to object tracking comprising the following steps: - Prediction step: a probability distribution is computed for the previous image, at time (t-1), is propagated to the new image at time (t) according to a probabilistic model of target dynamics, obtaining a predicted distribution at time (t) ; - Update step: the predicted distribution at time (t) is then aligned with the evidence contained in the new image at time (t) according to a probabilistic model of visual likelihood.

Method and apparatus for tracking a number of objects or object parts in image sequence

Lanz, Oswald
2006

Abstract

The present invention provides for a method for tracking a number of objects or object parts in image sequences, comprising following a Bayesian-like approach to object tracking, computing, at each time a new image is available, a probability distribution over all possible target configurations for that time, said Bayesian-like approach to object tracking comprising the following steps: - Prediction step: a probability distribution is computed for the previous image, at time (t-1), is propagated to the new image at time (t) according to a probabilistic model of target dynamics, obtaining a predicted distribution at time (t) ; - Update step: the predicted distribution at time (t) is then aligned with the evidence contained in the new image at time (t) according to a probabilistic model of visual likelihood.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/48981
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