publication . Conference object . Article . Other literature type . 2019

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

Luis Fernandes; Armando M. Fernandes; Márcia Baptista; Paulo Chaves;
Open Access
  • Published: 29 Jun 2019
  • Publisher: IEEE
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...
free text keywords: Object Tracking and Detection,, Convolutional Neural Networks, Residual Networks, Deep learning, Computer vision, Video tracking, Drone, Object detection, Convolutional neural network, Artificial intelligence, business.industry, business, Literature survey, Hungarian algorithm, Computer science, Artificial neural network
Funded by
Advanced Low Flying Aircrafts Detection and Tracking
  • Funder: European Commission (EC)
  • Project Code: 700002
  • Funding stream: H2020 | RIA
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Conference object . 2019
Provider: ZENODO
Other literature type . 2019
Provider: Datacite
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