Institute of Information Theory and Automation

Publication details

Automated detection of meteors in observed image sequence

Conference Paper (international conference)

Šimberová Stanislava, Suk Tomáš


serial: International conference of computational methods in sciences and engineering 2015 , Eds: Simos T.E.

action: International conference of computational methods in sciences and engineering 2015, (Athens, GR, 20150320)

project(s): GA15-16928S, GA ČR

keywords: meteor detection, statistical moments, Hough transformation

abstract (eng):

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.

RIV: IN

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Last modification: 21.12.2012
Institute of Information Theory and Automation