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Qualitative multiscale feature hierarchies for object tracking
KTH, Tidigare Institutioner, Numerisk analys och datalogi, NADA.
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsbiologi, CB.ORCID-id: 0000-0002-9081-2170
2000 (engelsk)Rapport (Fagfellevurdert)
Abstract [en]

This paper shows how the performance of feature trackers can be improved by building a hierarchical view-based object representation consisting of qualitative relations between image structures at different scales. The idea is to track all image features individually and to use the qualitative feature relations for avoiding mismatches, for resolving ambiguous matches, and for introducing feature hypotheses whenever image features are lost. Compared to more traditional work on view-based object tracking, this methodology has the ability to handle semirigid objects and partial occlusions. Compared to trackers based on three-dimensional object models, this approach is much simpler and of a more generic nature. A hands-on example is presented showing how an integrated application system can be constructed from conceptually very simple operations.

sted, utgiver, år, opplag, sider
KTH Royal Institute of Technology, 2000. Vol. 11, nr 2, s. 16s. 115-129
Emneord [en]
image segmentation, scale, representation, shape, selection, ridges
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-19776ISI: 000087184000003OAI: oai:DiVA.org:kth-19776DiVA, id: diva2:338468
Merknad

QC 20100525

Tilgjengelig fra: 2013-04-19 Laget: 2010-08-10 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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