Image analysis – Pattern recognition – Classification
Reexamination Certificate
2004-09-09
2009-10-20
Chawan, Sheela C (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S103000, C382S225000, C714S026000, C702S181000, C348S143000, C348S154000
Reexamination Certificate
active
07606425
ABSTRACT:
Methods and systems for the unsupervised learning of events contained within a video sequence, including apparatus and interfaces for implementing such systems and methods, are disclosed. An illustrative method in accordance with an exemplary embodiment of the present invention may include the steps of providing a behavioral analysis engine, initiating a training phase mode within the behavioral analysis engine and obtaining a feature vector including one or more parameters relating to an object located within an image sequence, and then analyzing the feature vector to determine a number of possible event candidates. The behavioral analysis engine can be configured to prompt the user to confirm whether an event candidate is a new event, an existing event, or an outlier. Once trained, a testing/operational phase mode of the behavioral analysis engine can be further implemented to detect the occurrence of one or more learned events, if desired.
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Bazakos Michael E.
Ma Yunqian
Morellas Vassilios
Chawan Sheela C
Fredrick Kris
Honeywell International , Inc.
Honeywell International Inc.
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