Robust discriminative tracking via landmark-based label propagation
The appearance of an object could be continuously changing during tracking, thereby being not independent identically distributed. A good discriminative tracker often needs a large number of training samples to fit the underlying data distribution, which is impractical for visual tracking. In this p...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 5 vom: 19. Mai, Seite 1510-23
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1. Verfasser: |
Wu, Yuwei
(VerfasserIn) |
Weitere Verfasser: |
Pei, Mingtao,
Yang, Min,
Yuan, Junsong,
Jia, Yunde |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2015
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |