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Fusing Appearance and Spatio-Temporal Models for Person Re-Identification and Tracking
Knowing who is where is a common task for many computer vision applications. Most of the literature focuses on one of two approaches: determining who a detected person is (appearance-based re-identification) and collating positions into a list, or determining the motion of a person (spatio-temporal-...
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| I publikationen: | J Imaging |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8321031/ https://ncbi.nlm.nih.gov/pubmed/34460729 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jimaging6050027 |
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