An Efficient Video Desnowing and Deraining Method with a Novel Variant Dataset

Arezoo Sadeghzadeh, Md Baharul Islam, Reza Zaker

Araştırma sonucu: Kitap/Rapor/Konferans sürecindeki bölümKonferans katkısıbilirkişi

1 Alıntı (Scopus)

Özet

Video desnowing/deraining plays a vital role in outdoor vision systems, such as autonomous driving and surveillance systems, since the weather conditions significantly degrade their performance. Although numerous approaches have been reported for video snow/rain removal, they are limited to a few videos and did not consider the variations that occurred for the camera and background in real applications. We build a complete snow and rain dataset to overcome this limitation, consisting of 577 videos with synthetic snow and rain, quasi-snow, and real snow and rain. All possible variations of the background and the camera are considered in the dataset. Then, an efficient pixel-wise video desnowing/deraining method is proposed based on the color and temporal information in consecutive video frames. It is highly likely for a single pixel to be a background pixel rather than a snowy pixel at least once in the consecutive frames. Inspiring from this fact along with the color information of the snow pixels, we extract the background pixels from different consecutive frames by searching for the minimum gray-scale intensity. Experimental results demonstrate and validate the proposed method’s robustness to illumination and high-performance static background and camera.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıComputer Vision Systems - 13th International Conference, ICVS 2021, Proceedings
EditörlerMarkus Vincze, Timothy Patten, Henrik I Christensen, Lazaros Nalpantidis, Ming Liu
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar195-208
Sayfa sayısı14
ISBN (Basılı)9783030871550
DOI'lar
Yayın durumuYayınlanan - 2021
Harici olarak yayınlandıEvet
Etkinlik13th International Conference on Computer Vision Systems, ICVS 2021 - Virtual, Online
Süre: 22 Eyl 202124 Eyl 2021

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim12899 LNCS
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

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???event.eventtypes.event.conference???13th International Conference on Computer Vision Systems, ICVS 2021
ŞehirVirtual, Online
Periyot22/09/2124/09/21

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