Cargando…
IPD-Net: Infrared Pedestrian Detection Network via Adaptive Feature Extraction and Coordinate Information Fusion
Infrared pedestrian detection has important theoretical research value and a wide range of application scenarios. Because of its special imaging method, infrared images can be used for pedestrian detection at night and in severe weather conditions. However, the lack of pedestrian feature information...
Autores principales: | Zhou, Lun, Gao, Song, Wang, Simin, Zhang, Hengsheng, Liu, Ruochen, Liu, Jiaming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696594/ https://www.ncbi.nlm.nih.gov/pubmed/36433562 http://dx.doi.org/10.3390/s22228966 |
Ejemplares similares
-
MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images
por: Liu, Ruochen, et al.
Publicado: (2022) -
Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
por: Fernández-Caballero, Antonio, et al.
Publicado: (2014) -
Contour Information-Guided Multi-Scale Feature Detection Method for Visible-Infrared Pedestrian Detection
por: Xu, Xiaoyu, et al.
Publicado: (2023) -
Feature Channel Expansion and Background Suppression as the Enhancement for Infrared Pedestrian Detection
por: Wang, Shengzhe, et al.
Publicado: (2020) -
Infrared and Visible Image Fusion via Attention-Based Adaptive Feature Fusion
por: Wang, Lei, et al.
Publicado: (2023)