DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field

Convolutional neural network (CNN)-based systems are increasingly used in autonomous vehicles for detecting obstacles. CNN-based object detection and per-pixel classification (semantic segmentation) algorithms are trained for detecting and classifying a predefined set of object types. These algorith...

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Detalles Bibliográficos
Autores principales: Christiansen, Peter, Nielsen, Lars N., Steen, Kim A., Jørgensen, Rasmus N., Karstoft, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134563/
https://www.ncbi.nlm.nih.gov/pubmed/27845717
http://dx.doi.org/10.3390/s16111904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134563/
https://www.ncbi.nlm.nih.gov/pubmed/27845717
http://dx.doi.org/10.3390/s16111904

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