Fast and precise: Parallel processing of vehicle traffic videos using big data analytics
Cities worldwide use camera systems that collect and store large amounts of images, which are used to study vehicle traffic conditions, facilitating traffic management author- ities’ decision-making. Typically, the inspection of those images is performed manually, which prevents extracting relevant...
- Autores:
-
Perafán Villota, Juan Carlos
Mondragon, Oscar H
Mayor Toro, Walter M.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/13900
- Acceso en línea:
- https://hdl.handle.net/10614/13900
https://red.uao.edu.co/
- Palabra clave:
- Redes neurales (Computadores)
Accidentes de tránsito
Big data
Neural networks (Computer science)
Traffic accidents
Accident detection
Big data
Convolutional neural network
Fast processing
Hadoop
Intersection over Union (IoU)
Kalman filter
Multi-tracking
Smart cities
Spark
You Only Look Once (YOLO)
- Rights
- openAccess
- License
- Derechos reservados - IEEE, 2021