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...

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Detalles Bibliográficos
Autores principales: Liu, Peixin, Li, Xiaofeng, Wang, Yang, Fu, Zhizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038340/
https://www.ncbi.nlm.nih.gov/pubmed/31979193
http://dx.doi.org/10.3390/s20030628

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