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Multiple Object Tracking for Dense Pedestrians by Markov Random Field Model with Improvement on Potentials
Pedestrian tracking in dense crowds is a challenging task, even when using a multi-camera system. In this paper, a new Markov random field (MRF) model is proposed for the association of tracklet couplings. Equipped with a new potential function improvement method, this model can associate the small...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038340/ https://www.ncbi.nlm.nih.gov/pubmed/31979193 http://dx.doi.org/10.3390/s20030628 |