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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| 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 |