Use of deep learning algorithms for real-time detection of vessels in confined spaces using the Tensorflow framework

Over 4515 small boat accidents were registered in the United State of America in 2012, resulting in 651 causalities and 22% of the accidents took place between two boats. It is, therefore, one of the most interesting applications for image analysis and recognition using deep learning, collision avoi...

Full description

Autores:

Sánchez, S A
Campillo Jiménez, Javier Eduardo
Martínez-Santos, J C

Tipo de recurso:

Fecha de publicación:

2003

Institución:

Universidad Tecnológica de Bolívar

Repositorio:

Repositorio Institucional UTB

Idioma:

eng

OAI Identifier:

oai:repositorio.utb.edu.co:20.500.12585/9534

Acceso en línea:

https://hdl.handle.net/20.500.12585/9534
https://iopscience.iop.org/article/10.1088/1742-6596/1448/1/012003

Palabra clave:

Aprendizaje profundo
Procesamiento digital de imágenes
Accidentes de embarcaciones
Computación paralela
Procesamiento de imágenes en tiempo real
Deep learning
Digital image processing
Boat accidents
Parallel computing
Real-time image processing

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/