Vehicle Detection in Urban Traffic Surveillance Images Based on Convolutional Neural Networks with Feature Concatenation

Vehicle detection with category inference on video sequence data is an important but challenging task for urban traffic surveillance. The difficulty of this task lies in the fact that it requires accurate localization of relatively small vehicles in complex scenes and expects real-time detection. In...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Fukai, Li, Ce, Yang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387095/
https://www.ncbi.nlm.nih.gov/pubmed/30704152
http://dx.doi.org/10.3390/s19030594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387095/
https://www.ncbi.nlm.nih.gov/pubmed/30704152
http://dx.doi.org/10.3390/s19030594

Ejemplares similares