Cargando…
An Improved Stereo Matching Algorithm for Vehicle Speed Measurement System Based on Spatial and Temporal Image Fusion
This paper proposes an improved stereo matching algorithm for vehicle speed measurement system based on spatial and temporal image fusion (STIF). Firstly, the matching point pairs in the license plate area with obviously abnormal distance to the camera are roughly removed according to the characteri...
Autores principales: | Yang, Lei, Li, Qingyuan, Song, Xiaowei, Cai, Wenjing, Hou, Chunping, Xiong, Zixiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305597/ https://www.ncbi.nlm.nih.gov/pubmed/34356407 http://dx.doi.org/10.3390/e23070866 |
Ejemplares similares
-
An Improved Human-Body-Segmentation Algorithm with Attention-Based Feature Fusion and a Refined Stereo-Matching Scheme Working at the Sub-Pixel Level for the Anthropometric System
por: Yang, Lei, et al.
Publicado: (2022) -
Real and Pseudo Pedestrian Detection Method with CA-YOLOv5s Based on Stereo Image Fusion
por: Song, Xiaowei, et al.
Publicado: (2022) -
Robust Vehicle Speed Measurement Based on Feature Information Fusion for Vehicle Multi-Characteristic Detection
por: Yang, Lei, et al.
Publicado: (2021) -
Review of Stereo Matching Algorithms Based on Deep Learning
por: Zhou, Kun, et al.
Publicado: (2020) -
A stereo matching algorithm based on the improved PSMNet
por: Huang, Zedong, et al.
Publicado: (2021)