@misc{oai:jaxa.repo.nii.ac.jp:00047808,
 author = {CEGARRA POLO, Manuel and 柳沢, 俊史 and 黒崎, 裕久 and 大澤, 亮 and 酒向, 重行 and CEGARRA POLO, Manuel and YANAGISAWA, Toshifumi and KUROSAKI, Hirohisa and OHSAWA, Ryou and SAKO, Shigeyuki},
 month = {Aug},
 note = {第9回スペースデブリワークショップ (2021年2月24-26日. 宇宙航空研究開発機構調布航空宇宙センター(JAXA)(CAC), オンライン会議), 調布市, 東京, The 9th Space Debris Workshop (February 24-26, 2021. Chofu Aerospace Center, Japan Aerospace Exploration Agency (JAXA)(CAC), Online meeting), Chofu, Tokyo, Japan, We have developed a streaks detection algorithm for images coming from the Tomo-e camera of the 1M telescope at Kiso Observatory. It follows a computer vision approach, with the next stages: preprocessing, thresholding, Hough transform, and clustering of streaks. A set of artificial streaks were superimposed over real Tomo-e images, and with a background noise of the real frames estimated in 550 ADU, and a peak brightness of the artificial streaks ranging from 630 to 1150 ADU, all streaks were detected correctly. The algorithm took 0.52 seconds to detect 8 artificial streaks in one of the 84 image sensors, when running in a 1.1GHz dual core CPU processor with RAM 8 GB. Real images will be tested at a later stage. The Tomo-e camera survey has a minimum time between frames of 6 seconds, which corresponds to 12 consecutive images of 0.5 seconds exposure each, for one particular region of the sky. Currently the algorithm is being exported to a GPU NVIDIA Quadro RTX 8000 dual system with 144 multiprocessors, that will allow the algorithm to process in parallel over the 84 image sensors of the camera, with the aim to detect all streaks under 6 seconds., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: AA2130003047, レポート番号: JAXA-SP-21-001},
 title = {Streaks Detection Algorithm in Astronomical Images from the Tomo-e Gozen Camera at Kiso Observatory},
 year = {2021}
}