EspiNet V2: a region based deep learning model for detecting motorcycles in urban scenarios

EspiNet V2: a region based deep learning model for detecting motorcycles in urban scenarios

This paper presents “EspiNet V2” a Deep Learning model, based on the region-based detector Faster R-CNN. The model is used for the detection of motorcycles in urban environments, where occlusion is likely. For training, two datasets are used: the Urban Motorbike Dataset (UMD-10K) of 10,000 annotated...

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Bibliographic Details
Main Authors: Jorge Ernesto Espinosa Oviedo, Sergio A Velastín, John William Branch Bedoya
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2019-10-01
Series:Dyna
Subjects:
vehicle detection
motorcycle detection
faster r-cnn
region-based detectors
convolutional neural network
deep learning
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/81639

Internet

https://revistas.unal.edu.co/index.php/dyna/article/view/81639

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