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Two Statistical Measures of Similarity for Object Association and Tracking in Color Image Sequences

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dc.contributor.authorKennedy, H.L.
dc.contributor.conferenceIEEE International Conference on Image Processing-ICIP 2007 (16 Sep 2007 - 19 Oct 2007 : Texas)
dc.date.issued2007
dc.description.abstractTwo statistical measures of similarity, for data association and tracking moving objects in sequences of color images, are derived and their performance is compared with normalized cross-correlation. Both methods use an F-distributed test statistic in a hypothesis test, which permits association thresholds to be set to give the desired (theoretical) false-association rate. One of the methods matches the performance of normalized cross-correlation, in the test data used, and is computationally less expensive. © 2007 IEEE.
dc.identifier.citationProceedings / ICIP ... International Conference on Image Processing, 2007, vol.2, pp.II477-II480
dc.identifier.doi10.1109/ICIP.2007.4379196
dc.identifier.isbn9781424414369
dc.identifier.issn1522-4880
dc.identifier.urihttps://hdl.handle.net/1959.8/128891
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUS
dc.source.urihttps://doi.org/10.1109/icip.2007.4379196
dc.titleTwo Statistical Measures of Similarity for Object Association and Tracking in Color Image Sequences
dc.typeConference paper
pubs.publication-statusPublished
ror.mmsid9915911397101831

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