Abstract
This article discusses the use of foggy environments for intelligent video surveillance. Foggy environments are needed for processing data using embedded computers with low computing power. The use of a foggy environment has significantly reduced the processing time of video information on a single board and embedded computers and systems. The proposed algorithm is significant for the developers of intelligent surveillance systems. The effectiveness of the algorithm for processing video images in foggy environments is shown on the examples in various subject domains, in particular, for the subway video images.
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Subbotin, A.N., Zhukova, N.A., Man, T. (2022). Video Processing Algorithm in Foggy Environment for Intelligent Video Surveillance. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-82196-8_52
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DOI: https://doi.org/10.1007/978-3-030-82196-8_52
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