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...
- 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