| Issue |
E3S Web Conf.
Volume 75, 2019
Regional Problems of Earth Remote Sensing (RPERS 2018)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 6 | |
| Section | Methods and Algorithms for Image Processing | |
| DOI | https://doi.org/10.1051/e3sconf/20197501008 | |
| Published online | 14 January 2019 | |
Dynamic texture recognition under adverse lighting and weather conditions for outdoor environments
Siberian Federal University, Institute of Space and Information Technology, 26, Kirensky st., Krasnoyarsk, 660074, Russian Federation
* Corresponding author: anna4u@list.ru
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 videobased dynamic texture analysis under bad weather conditions.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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