Cargando…
DBSCAN-Based Tracklet Association Annealer for Advanced Multi-Object Tracking
Recently, as the demand for technological advancement in the field of autonomous driving and smart video surveillance is gradually increasing, considerable progress in multi-object tracking using deep neural networks has been achieved, and its application field is also expanding. However, various pr...
Autores principales: | Kim, Jongwon, Cho, Jeongho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434360/ https://www.ncbi.nlm.nih.gov/pubmed/34502605 http://dx.doi.org/10.3390/s21175715 |
Ejemplares similares
-
FPGA-based tracking for the CMS Level-1 trigger using the tracklet algorithm
por: Bartz, Edward Hugo, et al.
Publicado: (2019) -
FPGA-based tracking for the CMS Level-1 trigger using the tracklet algorithm
por: Bartz, E., et al.
Publicado: (2019) -
Hierarchical Network-Based Tracklets Data Association for Multiple Extended Target Tracking with Intermittent Measurements
por: Jiang, Kaiyi, et al.
Publicado: (2023) -
FPGA-Based Tracklet Approach to Level-1 Track Finding at CMS for the HL-LHC
por: Bartz, Edward, et al.
Publicado: (2017) -
The pixel detector based tracklet reconstruction algorithm in ALICE
por: Elia, D, et al.
Publicado: (2009)