Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight

This paper presents a particle swarm tracking algorithm with improved inertia weight based on color features. The weighted color histogram is used as the target feature to reduce the contribution of target edge pixels in the target feature, which makes the algorithm insensitive to the target non-rig...

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Detalles Bibliográficos
Autores principales: Guo, Siqiu, Zhang, Tao, Song, Yulong, Qian, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948753/
https://www.ncbi.nlm.nih.gov/pubmed/29690610
http://dx.doi.org/10.3390/s18041292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948753/
https://www.ncbi.nlm.nih.gov/pubmed/29690610
http://dx.doi.org/10.3390/s18041292

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