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Qualitative Multi-Scale Feature Hierarchies for Object Tracking
KTH, Tidigare Institutioner, Numerisk analys och datalogi, NADA.
KTH, Tidigare Institutioner, Numerisk analys och datalogi, NADA.ORCID-id: 0000-0002-9081-2170
2000 (engelsk)Inngår i: Journal of Visual Communication and Image Representation, ISSN 1047-3203, E-ISSN 1095-9076, Vol. 11, s. 115-129Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper shows how the performance of feature trackers can be improved by building a 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 resolving ambiguous matches and for introducing feature hypotheses whenever image features are mismatched or lost. Compared to more traditional work on view-based object tracking, this methodology has the ability to handle semi-rigid 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
Elsevier, 2000. Vol. 11, s. 115-129
Emneord [en]
object representation, tracking, feature detection, scale selection, motion, matching, shape analysis, applications, scale-space, multi-scale representation, computer vision
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-40147DOI: 10.1006/jvci.1999.0438OAI: oai:DiVA.org:kth-40147DiVA, id: diva2:465689
Merknad

Earlier version presented in M. Nielsen, P. Johansen, O. F. Olsen and J. Weickert (eds.) Proc. 2nd International Conference on Scale-Space Theories in Computer Vision, (Corfu, Greece), September 26-27, 1999. Springer Lecture Notes in Computer Science, vol 1682, pp. 117--128. QC 20111215

Tilgjengelig fra: 2011-12-15 Laget: 2011-09-13 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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