Abstract
This paper reports the results of the 5th edition of the “Drone-vs-Bird” detection challenge, organized within the 21st International Conference on Image Analysis and Processing (ICIAP). By taking as input video samples recorded by common cameras, the aim of the challenge is to devise advanced approaches aimed at spotlighting the presence of drones flying in the monitored area, while limiting the number of wrong alarms raised when similar flying entities such as birds suddenly appear in the scene. To this end, a number of important issues such as the dynamic variations in the scene and the background/foreground motion effects should be carefully considered, so as to allow the proposed solutions to correctly identify drones only when they are actually present. The paper summarizes the novel algorithms proposed by the four participating teams that succeeded in providing satisfactory detection performance on the 2022 challenge dataset.
Original language | English (US) |
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Title of host publication | Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers |
Editors | Pier Luigi Mazzeo, Cosimo Distante, Emanuele Frontoni, Stan Sclaroff |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 410-421 |
Number of pages | 12 |
ISBN (Print) | 9783031133237 |
DOIs | |
State | Published - 2022 |
Event | 21st International Conference on Image Analysis and Processing , ICIAP 2022 - Lecce, Italy Duration: May 23 2022 → May 27 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13374 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 21st International Conference on Image Analysis and Processing , ICIAP 2022 |
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Country/Territory | Italy |
City | Lecce |
Period | 5/23/22 → 5/27/22 |
Keywords
- Deep learning
- Drone detection
- Image and video signal processing
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science