A new meteor detection application robust to camera movements

Autor:	Ciocan, Clara, Kandeepan, Mathuran, Cassagne, Adrien, Vaubaillon, Jeremie, Zander, Fabian, Lacassagne, Lionel
Jazyk:	francouzština
Rok vydání:	2023
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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). Comment: in French language, Groupe de Recherche et d'{\'E}tudes de Traitement du Signal et des Images (GRETSI), Aug 2023, Grenoble, France
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2309.06027 Zobrazit plný text záznamu View this record from Arxiv