Integrating color and shape-texture features for adaptive real-time object tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability. The target model is updated according to the similarity between the initial and current models, and this makes the trac...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 17(2008), 2 vom: 14. Feb., Seite 235-40 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2008
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Letter |
| Online verfügbar |
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