Deformable Object Tracking With Gated Fusion
The tracking-by-detection framework receives growing attention through the integration with the convolutional neural networks (CNNs). Existing tracking-by-detection-based methods, however, fail to track objects with severe appearance variations. This is because the traditional convolutional operatio...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 8 vom: 07. Aug., Seite 3766-3777
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| 1. Verfasser: |
Liu, Wenxi
(VerfasserIn) |
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| Weitere Verfasser: |
Song, Yibing,
Chen, Dengsheng,
He, Shengfeng,
Yu, Yuanlong,
Yan, Tao,
Hancke, Gehard P,
Lau, Rynson W H |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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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 |
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