Detection and tracking of motorcycles in urban environments by using video sequences with high level of oclussion

This thesis presents an investigation into detection, classi_cation and tracking of occluded motorcycles from urban tra_c scenes. The _nal aim is to develop an accurate system that allows automatic detection and tracking of motorcycles, which are the most frequent vulnerable user of urban tra_c in e...

Full description

Autores:
Espinosa Oviedo, Jorge Ernesto
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/76455
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/76455
http://bdigital.unal.edu.co/72867/
Palabra clave:
Object detection
motorcycle detection
motorcycle tracking
multiple object tracking
object detection under high level of occlusion
object tracking under high level of occlusion
Deep Learning, Convolutional Neural Networks
Faster R-CNN
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional