Image analysis – Learning systems – Neural networks
Reexamination Certificate
2006-02-14
2006-02-14
Wu, Jingge (Department: 2623)
Image analysis
Learning systems
Neural networks
C382S224000, C348S153000
Reexamination Certificate
active
06999613
ABSTRACT:
Aspects of the present invention can be configured to demultiplex an asynchronously multiplexed video signal, which comprises images from a number of different cameras. Image matching techniques are used to assign input images with states. After a period, the number of states will generally equal the number of input cameras. The states may be modeled through any number of techniques, such as histogram analysis, clustering, and hidden Markov model analysis. Input images are assigned to states, and the input images are output as being associated with the states. Zone surveillance may be performed on a series of images from one or more of the states. Any events that occur can be distinguished and reported.
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Colmenarez Antonio J.
Gutta Srinivas
Trajkovic Miroslav
Goodman Edward W.
Upreti Ashutosh
Wu Jingge
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