A new meteor detection application robust to camera movements
Clara Ciocan (ALSOC), Mathuran Kandeepan (ALSOC), Adrien Cassagne, (ALSOC), Jeremie Vaubaillon (IMCCE), Fabian Zander (USQ), Lionel Lacassagne, (ALSOC)

TL;DR
This paper introduces FMDT, a meteor detection tool capable of analyzing stabilized videos from airborne cameras, designed to operate efficiently under power and speed constraints.
Contribution
The paper presents a robust, real-time meteor detection system that works with stabilized videos from airborne platforms, addressing power and processing limitations.
Findings
Detects meteors accurately in stabilized videos
Operates in real-time at 25 fps
Consumes less than 10 W of power
Abstract
This article presents a new tool for the automatic detection of meteors. Fast Meteor Detection Toolbox (FMDT) is able to detect meteor sightings by analyzing videos acquired by cameras onboard weather balloons or within airplane with stabilization. The challenge consists in designing a processing chain composed of simple algorithms, that are robust to the high fluctuation of the videos and that satisfy the constraints on power consumption (10 W) and real-time processing (25 frames per second).
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Taxonomy
TopicsAdvanced Vision and Imaging · Image Processing Techniques and Applications · Image and Object Detection Techniques
