Vítek Stanislav, Nasyrova Maria
Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic.
Sensors (Basel). 2017 Dec 29;18(1):77. doi: 10.3390/s18010077.
The automatic observation of the night sky through wide-angle video systems with the aim of detecting meteor and fireballs is currently among routine astronomical observations. The observation is usually done in multi-station or network mode, so it is possible to estimate the direction and the speed of the body flight. The high velocity of the meteorite flying through the atmosphere determines the important features of the camera systems, namely the high frame rate. Thanks to high frame rates, such imaging systems produce a large amount of data, of which only a small fragment has scientific potential. This paper focuses on methods for the real-time detection of fast moving objects in the video sequences recorded by intensified TV systems with frame rates of about 60 frames per second. The goal of our effort is to remove all unnecessary data during the daytime and make free hard-drive capacity for the next observation. The processing of data from the MAIA (Meteor Automatic Imager and Analyzer) system is demonstrated in the paper.
目前,通过广角视频系统自动观测夜空以探测流星和火球属于常规天文观测。这种观测通常以多站或网络模式进行,因此可以估计天体飞行的方向和速度。陨石在大气中高速飞行决定了摄像系统的重要特性,即高帧率。由于帧率高,此类成像系统会产生大量数据,其中只有一小部分具有科学价值。本文重点探讨在帧率约为每秒60帧的增强型电视系统记录的视频序列中实时检测快速移动物体的方法。我们努力的目标是在白天去除所有不必要的数据,并为下一次观测腾出硬盘容量。本文展示了对MAIA(流星自动成像仪和分析仪)系统数据的处理。