0453742 20240103211557.420160112235959.9 84984581019 000371804300197 10.1063/1.4938976 4 s. P cav_un_epca*0453741978-0-7354-1349-80094-243XMelvilleAmerican Institute of Physics2015SimosT.E. meteor detection statistical moments Hough transformation cav_un_auth*0100099 Sluneční oddělení Department of Solar Physics Department of Solar Physics - Team 1 Šimberová Stanislava ASU-R Astronomický ústav AV ČR, v. v. i. cav_un_auth*0101203 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Suk Tomáš UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0314467 GA15-16928S GA ČR We propose a new detection technique based on statistical characteristics of images in the video sequence. These characteristics displayed in time enable to catch any bright track during the whole sequence. We applied our method to the image datacubes that are created from camera pictures of the night sky. Meteor flying through the Earth’s atmosphere leaves a light trail lasting a few seconds on the sky background. We developed a special technique to recognize this event automatically in the complete observed video sequence. For further analysis leading to the precise recognition of object we suggest to apply Fourier and Hough transformations. cav_un_auth*0325124 International conference of computational methods in sciences and engineering 2015 20150320 Athens GR 20150323 IN 2016 UTIA-B IN RVO:67985815 RVO:67985556 http://hdl.handle.net/11104/0254470 S RIV/67985815:_____/15:00453742!RIV16-AV0-67985815 191659448 oprava kódu vědeckého oboru RIV ASU-R 0.160 Q4 2015 84984581019 SCOPUS 000371804300197 WOS cav_un_epca*0453741 International conference of computational methods in sciences and engineering 2015 American Institute of Physics 2015 Melville 978-0-7354-1349-8 AIP Conference proceedings 1702 0094-243X 190009/1-190009/4 340 Simos T.E.