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Methods and apparatus for extraction and tracking of objects from multi-dimensional sequence dataAn object tracking technique is provided which, given: (i) a potentially large data set; (ii) a set of dimensions along which the data has been ordered; and (iii) a set of functions for measuring the similarity between data elements, a set of objects are produced. Each of these objects is defined by a list of data elements. Each of the data elements on this list contains the probability that the data element is part of the object. The method produces these lists via an adaptive, knowledge-based search function which directs the search for high-probability data elements. This serves to reduce the number of data element combinations evaluated while preserving the most flexibility in defining the associations of data elements which comprise an object.
Document ID
20080005113
Acquisition Source
Goddard Space Flight Center
Document Type
Other - Patent
Authors
Hill, Matthew L.
Chang, Yuan-Chi
Li, Chung-Sheng
Castelli, Vittorio
Bergman, Lawrence David
Date Acquired
August 24, 2013
Publication Date
April 5, 2005
Subject Category
Computer Systems
Funding Number(s)
CONTRACT_GRANT: NCC5-305
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Patent
US-PATENT-6,876,999
Patent Application
US-PATENT-APPL-SN-841949
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