Robust Data Association Using Fusion of Data-Driven and Engineered Features for Real-Time Pedestrian Tracking in Thermal Images

Object tracking is an essential problem in computer vision that has been extensively researched for decades. Tracking objects in thermal images is particularly difficult because of the lack of color information, low image resolution, or high similarity between objects of the same class. One of the m...

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Detalles Bibliográficos
Autores principales: Muresan, Mircea Paul, Nedevschi, Sergiu, Danescu, Radu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659910/
https://www.ncbi.nlm.nih.gov/pubmed/34884016
http://dx.doi.org/10.3390/s21238005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659910/
https://www.ncbi.nlm.nih.gov/pubmed/34884016
http://dx.doi.org/10.3390/s21238005

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