Cargando…
A video-based real-time adaptive vehicle-counting system for urban roads
In developing nations, many expanding cities are facing challenges that result from the overwhelming numbers of people and vehicles. Collecting real-time, reliable and precise traffic flow information is crucial for urban traffic management. The main purpose of this paper is to develop an adaptive m...
Autores principales: | Liu, Fei, Zeng, Zhiyuan, Jiang, Rong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685594/ https://www.ncbi.nlm.nih.gov/pubmed/29135984 http://dx.doi.org/10.1371/journal.pone.0186098 |
Ejemplares similares
-
Real-Time LIDAR-Based Urban Road and Sidewalk Detection for Autonomous Vehicles
por: Horváth, Ernő, et al.
Publicado: (2021) -
Vehicle Counting Based on Vehicle Detection and Tracking from Aerial Videos
por: Xiang, Xuezhi, et al.
Publicado: (2018) -
Vehicle Trajectory Prediction Method Based on License Plate Information Obtained from Video-Imaging Detectors in Urban Road Environment
por: Zhang, Zheng, et al.
Publicado: (2020) -
Vehicle Counting in Video Sequences: An Incremental Subspace Learning Approach
por: Rosas-Arias, Leonel, et al.
Publicado: (2019) -
Adaptive vehicle extraction in real-time traffic video monitoring based on the fusion of multi-objective particle swarm optimization algorithm
por: Yu, Shijun, et al.
Publicado: (2018)