Gaussian mixture probability hypothesis density for visual people tracking

Gaussian mixture probability hypothesis density for visual people tracking

10.1109/ICIF.2007.4408177

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Bibliographic Details
Main Authors: Wang, Y.-D., Wu, J.-K., Huang, W., Kassim, A.A.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Conference or Workshop Item
Published: 2014
Subjects:
Bayesian filtering
Gaussian mixture
People tracking
Probability hypothesis density
Online Access:http://scholarbank.nus.edu.sg/handle/10635/70409
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Institution: National University of Singapore
Description
Summary:10.1109/ICIF.2007.4408177

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