Achieving Adaptive Visual Multi-Object Tracking with Unscented Kalman Filter

As an essential part of intelligent monitoring, behavior recognition, automatic driving, and others, the challenge of multi-object tracking is still to ensure tracking accuracy and robustness, especially in complex occlusion environments. Aiming at the issues of the occlusion, background noise, and...

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Detalles Bibliográficos
Autores principales: Zhang, Guowei, Yin, Jiyao, Deng, Peng, Sun, Yanlong, Zhou, Lin, Zhang, Kuiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741288/
https://www.ncbi.nlm.nih.gov/pubmed/36501808
http://dx.doi.org/10.3390/s22239106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741288/
https://www.ncbi.nlm.nih.gov/pubmed/36501808
http://dx.doi.org/10.3390/s22239106

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