Dynamic Texture Recognition Under Adverse Lighting and Weather Conditions for Outdoor Environments
Пятаева, А. В.
Институт космических и информационных технологий
Кафедра систем искусственного интеллекта
Journal Name:E3S Web of Conferences
Journal Quartile in Scopus:без квартиля
Journal Quartile in Web of Science:без квартиля
Bibliographic Citation:Пятаева, А. В. Dynamic Texture Recognition Under Adverse Lighting and Weather Conditions for Outdoor Environments [Текст] / А. В. Пятаева // E3S Web of Conferences: Regional Problems of Earth Remote Sensing (RPERS 2018). — 2019. — Т. 75.
Recognizing dynamic patterns based on visual processing is significant for many applications. In this paper dynamic texture recognition focuses on outdoor scenarios where a crisis event might occur (i.e. fire in a forest, floods/flooding etc.) Real outdoor scenes may include the objects with dynamic behaviour due to illumination, blurring, or weather conditions effects. Under bad weather conditions the imaging systems is degraded and produce low visibility images. In this work precipitation artefacts and lightning effects for dynamic texture analysis were studied. Experimental results show that the proposed method of weather and adverse lighting effects compensation is feasible and effective for video-based dynamic texture analysis under bad weather conditions.