publication . Conference object . Other literature type . 2019

Drone, Aircraft and Bird Identification in Video Images Using Object Tracking and Residual Neural Networks

Fernandes, Luis; Fernandes, Armando; Baptista, Marcia; Chaves, Paulo;
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  • Published: 29 Jun 2019
  • Publisher: IEEE
Abstract
As maritime smuggling is being combatted more effectively, the criminal “modus operandi” consists more frequently of using small aircraft and drones for drug transport. To address this issue, we report our efforts to develop a system capable of accurately tracking suspicious flying objects and identifying them on video streams. Our solution consists in coupling classical computer vision with deep learning to perform tracking and object detection. A discrete Kalman filter is used to predict the location of each object being tracked while the Hungarian algorithm is used to match objects between successive frames. Whenever a potential target is considered suspiciou...
Subjects
free text keywords: Object Tracking and Detection,, Deep learning, Convolutional Neural Networks, Residual Networks
Funded by
EC| ALFA
Project
ALFA
Advanced Low Flying Aircrafts Detection and Tracking
  • Funder: European Commission (EC)
  • Project Code: 700002
  • Funding stream: H2020 | RIA
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Zenodo
Other literature type . 2019
Provider: Datacite
Zenodo
Other literature type . 2019
Provider: Datacite
ZENODO
Conference object . 2019
Provider: ZENODO
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publication . Conference object . Other literature type . 2019

Drone, Aircraft and Bird Identification in Video Images Using Object Tracking and Residual Neural Networks

Fernandes, Luis; Fernandes, Armando; Baptista, Marcia; Chaves, Paulo;