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Piecewise-stationary motion modeling and iterative smoothing to track heterogeneous particle motions in dense environments
One of the major challenges in multiple particle tracking is the capture of extremely heterogeneous movements of objects in crowded scenes. The presence of numerous assignment candidates in the expected range of particle motion makes the tracking ambiguous and induces false positives. Lowering the a...
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| Pubblicato in: | IEEE Trans Image Process |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5796444/ https://ncbi.nlm.nih.gov/pubmed/29388914 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TIP.2017.2707803 |
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