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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-...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321031/ https://www.ncbi.nlm.nih.gov/pubmed/34460729 http://dx.doi.org/10.3390/jimaging6050027 |