SAFS: Object Tracking Algorithm Based on Self-Adaptive Feature Selection

Object tracking is one of the most challenging problems in the field of computer vision. In challenging object tracking scenarios such as illumination variation, occlusion, motion blur and fast motion, existing algorithms can present decreased performances. To make better use of the various features...

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Detalles Bibliográficos
Autores principales: Guo, Wenhua, Gao, Jiabao, Tian, Yanbin, Yu, Fan, Feng, Zuren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230626/
https://www.ncbi.nlm.nih.gov/pubmed/34208036
http://dx.doi.org/10.3390/s21124030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230626/
https://www.ncbi.nlm.nih.gov/pubmed/34208036
http://dx.doi.org/10.3390/s21124030

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