A Fast and Accurate Approach to Multiple-Vehicle Localization and Tracking from Monocular Aerial Images
In this work we present a novel end-to-end solution for tracking objects (i.e., vessels), using video streams from aerial drones, in dynamic maritime environments. Our method relies on deep features, which are learned using realistic simulation data, for robust object detection, segmentation and tra...
Main Authors: | Daniel Tøttrup, Stinus Lykke Skovgaard, Jonas le Fevre Sejersen, Rui Pimentel de Figueiredo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/7/12/270 |
Similar Items
-
A Real-Time Method for Time-to-Collision Estimation from Aerial Images
by: Daniel Tøttrup, et al.
Published: (2022-03-01) -
Correction: Tøttrup et al. A Real-Time Method for Time-to-Collision Estimation from Aerial Images. <i>J. Imaging</i> 2022, <i>8</i>, 62
by: Daniel Tøttrup, et al.
Published: (2022-09-01) -
Visual Tracking of Small Unmanned Aerial Vehicles Based on Object Proposal Voting
by: Jin Hong, et al.
Published: (2021-01-01) -
Multi-Vehicle Tracking Based on Monocular Camera in Driver View
by: Pengfei Lyu, et al.
Published: (2022-11-01) -
Online Learning-Based Hybrid Tracking Method for Unmanned Aerial Vehicles
by: Sohee Son, et al.
Published: (2023-03-01)