Joint detection and estimation of multiple objects from image observation

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Joint detection and estimation of multiple objects from image observation

The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as a random finite set. Analytic characterizations of the posterior distribution of this random finite set are derived for...

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Bibliographic Details
Main Authors:	Vo, Ba-Ngu, Vo, Ba Tuong, Pham, N., Suter, D.
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers 2010
Subjects:	tracking probability hypothesis density (PHD) filtering Multi-Bernoulli images Random sets track before detect (TBD)
Online Access:	http://hdl.handle.net/20.500.11937/15926

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