CVIVSep 12, 2023

A new meteor detection application robust to camera movements

arXiv:2309.06027v1h-index: 9
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of meteor detection for applications using cameras on weather balloons or airplanes, but it appears incremental as it focuses on optimizing existing methods for specific constraints.

The authors tackled the problem of automatically detecting meteors in videos from moving cameras by developing the Fast Meteor Detection Toolbox (FMDT), which achieved real-time processing at 25 frames per second with a power consumption constraint of 10 W.

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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