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Visual Tracking With Group Motion Approach

An algorithm for tracking single visual targets is developed in this study.
Feature detection is the necessary and appropriate image processing technique for
this algorithm. The main point of this approach is to use the data supplied by the
feature detection as the observation from a group of targets having similar motion
dynamics. Therefore a single visual target is regarded as a group of multiple targets.
Accurate data association and state estimation under clutter are desired for this
application similar to other multi-target tracking applications. The group tracking
approach is used with the well-known probabilistic data association technique to
cope with data association and estimation problems. The applicability of this
method particularly for visual tracking and for other cases is also discussed.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/4/1056100/index.pdf
Date01 January 2003
CreatorsArslan, Ali Erkin
ContributorsDemirekler, Mubeccel
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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