Cargando…
A Deep Recurrent Learning-Based Region-Focused Feature Detection for Enhanced Target Detection in Multi-Object Media
Target detection in high-contrast, multi-object images and movies is challenging. This difficulty results from different areas and objects/people having varying pixel distributions, contrast, and intensity properties. This work introduces a new region-focused feature detection (RFD) method to tackle...
Autores principales: | Wang, Jinming, Alshahir, Ahmed, Abbas, Ghulam, Kaaniche, Khaled, Albekairi, Mohammed, Alshahr, Shahr, Aljarallah, Waleed, Sahbani, Anis, Nowakowski, Grzegorz, Sieja, Marek |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490795/ https://www.ncbi.nlm.nih.gov/pubmed/37688012 http://dx.doi.org/10.3390/s23177556 |
Ejemplares similares
-
New Real-Time High-Density Impulsive Noise Removal Method Applied to Medical Images
por: Alanazi, Turki M., et al.
Publicado: (2023) -
Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects
por: Jarrassé, Nathanaël, et al.
Publicado: (2014) -
New Real-Time Impulse Noise Removal Method Applied to Chest X-ray Images
por: Rashid, Nasr, et al.
Publicado: (2022) -
Radiolocation Devices for Detection and Tracking Small High-Speed Ballistic Objects—Features, Applications, and Methods of Tests
por: Brzozowski, Marek, et al.
Publicado: (2019) -
Spatial Attention Frustum: A 3D Object Detection Method Focusing on Occluded Objects
por: He, Xinglei, et al.
Publicado: (2022)